cat test_15082020.txt 
## chr1        207679307        207679307        pan1
## chr1        207684192        207684192        pan1
## chr1        207685786        207685786        pan1
## chr1        207685965        207685965        pan1
## chr1        207692049        207692049        pan1

Now we have to use these coordinates to get matching rsIDs from standard vcf file. Let us look at the contents of the reference vcf

zgrep -v "#" ref.sorted.vcf.gz
## 1    207679307   rs4844600   A   C,G .   .   RS=4844600;RSPOS=207679307;dbSNPBuildID=111;SSR=0;SAO=0;VP=0x050328000b05110536000100;GENEINFO=CR1:1378;WGT=1;VC=SNV;PM;PMC;S3D;SLO;NSM;REF;SYN;ASP;G5;HD;GNO;KGPhase1;KGPhase3;CAF=0.1496,.,0.8504;COMMON=1;TOPMED=0.16070177115188583,0.00227765035677879,0.83702057849133537
## 1    207684192   rs12037841  T   G   .   .   RS=12037841;RSPOS=207684192;dbSNPBuildID=120;SSR=0;SAO=0;VP=0x050100080005110136000100;GENEINFO=CR1:1378;WGT=1;VC=SNV;SLO;INT;ASP;G5;GNO;KGPhase1;KGPhase3;CAF=0.06649,0.9335;COMMON=1;TOPMED=0.12155963302752293,0.87844036697247706
## 1    207685786   rs4266886   T   C   .   .   RS=4266886;RSPOS=207685786;dbSNPBuildID=111;SSR=0;SAO=0;VP=0x050100080005110536000100;GENEINFO=CR1:1378;WGT=1;VC=SNV;SLO;INT;ASP;G5;HD;GNO;KGPhase1;KGPhase3;CAF=0.1426,0.8574;COMMON=1;TOPMED=0.16106810652395514,0.83893189347604485
## 1    207685965   rs4562624   A   C,T .   .   RS=4562624;RSPOS=207685965;dbSNPBuildID=111;SSR=0;SAO=0;VP=0x050100080005110136000100;GENEINFO=CR1:1378;WGT=1;VC=SNV;SLO;INT;ASP;G5;GNO;KGPhase1;KGPhase3;CAF=0.06669,0.9333,.;COMMON=1;TOPMED=0.12107384046890927,0.87892615953109072,.
## 1    207692048   rs386638846 CATC    CGTT    .   .   RS=386638846;RSPOS=207692049;dbSNPBuildID=138;SSR=0;SAO=0;VP=0x050000080005000002000800;GENEINFO=CR1:1378;WGT=1;VC=MNV;INT;ASP
## 1    207692049   rs6656401   A   G,T .   .   RS=6656401;RSPOS=207692049;dbSNPBuildID=116;SSR=0;SAO=0;VP=0x05016808000511053e030100;GENEINFO=CR1:1378;WGT=1;VC=SNV;PM;PMC;SLO;INT;ASP;G5;HD;GNO;KGPhase1;KGPhase3;MTP;OM;CAF=0.06669,0.9333,.;COMMON=1;TOPMED=0.09828937308868501,0.87834480122324159,0.02336582568807339

I skipped headers in listing the variants. We are going to use bedtools for annotation. Input for bedtools is bed file and bed files are zero indexed. Hence we have to convert the text to bed format. Converted bed file is used in intersecting the input vcf file. Every thing can be done in a single line i.e conversion to bed file and subsequent intersection with reference dbsnp. Let us do that.

sed "s/^chr//g" test_15082020.txt |  awk -v OFS="\t" '{$2=$2-1;print $1,$2,$3,$4}' | bedtools intersect -wa -wb -a stdin -b ref.sorted.vcf.gz
## 1    207684191   207684192   pan1    1   207684192   rs12037841  T   G   .   .   RS=12037841;RSPOS=207684192;dbSNPBuildID=120;SSR=0;SAO=0;VP=0x050100080005110136000100;GENEINFO=CR1:1378;WGT=1;VC=SNV;SLO;INT;ASP;G5;GNO;KGPhase1;KGPhase3;CAF=0.06649,0.9335;COMMON=1;TOPMED=0.12155963302752293,0.87844036697247706
## 1    207685785   207685786   pan1    1   207685786   rs4266886   T   C   .   .   RS=4266886;RSPOS=207685786;dbSNPBuildID=111;SSR=0;SAO=0;VP=0x050100080005110536000100;GENEINFO=CR1:1378;WGT=1;VC=SNV;SLO;INT;ASP;G5;HD;GNO;KGPhase1;KGPhase3;CAF=0.1426,0.8574;COMMON=1;TOPMED=0.16106810652395514,0.83893189347604485
## 1    207685964   207685965   pan1    1   207685965   rs4562624   A   C,T .   .   RS=4562624;RSPOS=207685965;dbSNPBuildID=111;SSR=0;SAO=0;VP=0x050100080005110136000100;GENEINFO=CR1:1378;WGT=1;VC=SNV;SLO;INT;ASP;G5;GNO;KGPhase1;KGPhase3;CAF=0.06669,0.9333,.;COMMON=1;TOPMED=0.12107384046890927,0.87892615953109072,.
## 1    207692048   207692049   pan1    1   207692048   rs386638846 CATC    CGTT    .   .   RS=386638846;RSPOS=207692049;dbSNPBuildID=138;SSR=0;SAO=0;VP=0x050000080005000002000800;GENEINFO=CR1:1378;WGT=1;VC=MNV;INT;ASP
## 1    207692048   207692049   pan1    1   207692049   rs6656401   A   G,T .   .   RS=6656401;RSPOS=207692049;dbSNPBuildID=116;SSR=0;SAO=0;VP=0x05016808000511053e030100;GENEINFO=CR1:1378;WGT=1;VC=SNV;PM;PMC;SLO;INT;ASP;G5;HD;GNO;KGPhase1;KGPhase3;MTP;OM;CAF=0.06669,0.9333,.;COMMON=1;TOPMED=0.09828937308868501,0.87834480122324159,0.02336582568807339

Now we got all the columns including the data in 4th column. Now you can extract all the columns of your choice