Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
fotolog.com.br 3713 59058
curse.com 3714 62339
hydranetwork.com 3717 81446
iloveindia.com 3718 91096
twoplustwo.com 3719 54619
sbc.com 3720 94377
rozee.pk 3721 59637
exler.ru 3722 65041
deutsche-startups.de 3723 78358
500wan.com 3724 60602
voc.com.cn 3725 65427
0-6.com 3726 53461
tineye.com 3727 74884
johnlewis.com 3728 66778
berlin1.de 3729 79709
stepstone.de 3729 66006
ruelala.com 3731 63690
zaq.ne.jp 3732 82218
ahram.org.eg 3733 70252
gioco.it 3734 57900
hinews.cn 3734 65620
cdc.gov 3735 80288
wibiya.com 3736 69866
email.cz 3738 73340
copyblogger.com 3739 85306
money.pl 3740 75463
3dnews.ru 3741 76814
thottbot.com 3742 65234
uiuc.edu 3743 82025
sponsorads.de 3744 93026
kamyabonline.com 3745 66392
hln.be 3746 60023
asharqalawsat.com 3747 80095
konami.jp 3748 68129
ieaddons.com 3749 92833
scrubtheweb.com 3750 73726
starbucks.com 3751 84341
videojug.com 3752 84148
ae.com 3753 59637
mcanime.net 3754 54619



TEGRA_table_txt_file: table_8847.txt
TEGRA_TABLE_TEXT: fotolog.com.br 3713 59058
curse.com 3714 62339
hydranetwork.com 3717 81446
iloveindia.com 3718 91096
twoplustwo.com 3719 54619
sbc.com 3720 94377
rozee.pk 3721 59637
exler.ru 3722 65041
deutsche-startups.de 3723 78358
500wan.com 3724 60602
voc.com.cn 3725 65427
0-6.com 3726 53461
tineye.com 3727 74884
johnlewis.com 3728 66778
berlin1.de 3729 79709
stepstone.de 3729 66006
ruelala.com 3731 63690
zaq.ne.jp 3732 82218
ahram.org.eg 3733 70252
gioco.it 3734 57900
hinews.cn 3734 65620
cdc.gov 3735 80288
wibiya.com 3736 69866
email.cz 3738 73340
copyblogger.com 3739 85306
money.pl 3740 75463
3dnews.ru 3741 76814
thottbot.com 3742 65234
uiuc.edu 3743 82025
sponsorads.de 3744 93026
kamyabonline.com 3745 66392
hln.be 3746 60023
asharqalawsat.com 3747 80095
konami.jp 3748 68129
ieaddons.com 3749 92833
scrubtheweb.com 3750 73726
starbucks.com 3751 84341
videojug.com 3752 84148
ae.com 3753 59637
mcanime.net 3754 54619
label: fotolog.com.br||3713||59058
curse.com||3714||62339
hydranetwork.com||3717||81446
iloveindia.com||3718||91096
twoplustwo.com||3719||54619
sbc.com||3720||94377
rozee.pk||3721||59637
exler.ru||3722||65041
deutsche-startups.de||3723||78358
500wan.com||3724||60602
voc.com.cn||3725||65427
0-6.com||3726||53461
tineye.com||3727||74884
johnlewis.com||3728||66778
berlin1.de||3729||79709
stepstone.de||3729||66006
ruelala.com||3731||63690
zaq.ne.jp||3732||82218
ahram.org.eg||3733||70252
gioco.it||3734||57900
hinews.cn||3734||65620
cdc.gov||3735||80288
wibiya.com||3736||69866
email.cz||3738||73340
copyblogger.com||3739||85306
money.pl||3740||75463
3dnews.ru||3741||76814
thottbot.com||3742||65234
uiuc.edu||3743||82025
sponsorads.de||3744||93026
kamyabonline.com||3745||66392
hln.be||3746||60023
asharqalawsat.com||3747||80095
konami.jp||3748||68129
ieaddons.com||3749||92833
scrubtheweb.com||3750||73726
starbucks.com||3751||84341
videojug.com||3752||84148
ae.com||3753||59637
mcanime.net||3754||54619