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:
palacky university faculty of medicine 0.05Medium 260 $ 4.68
palacios em portugal 0.16Medium 1,900 $ 0.70
palacky czech 0.01Medium 260 $ 0.10
palacios boca juniors 0.01Medium 320 $ 0.10
palacios mexican restaurant 0.05Medium 58 $ 1.31
palacios y blanco 0.05Medium 2,900 $ 0.50
palacios hardy 0.02Medium 210 $ 0.10
palacios origin 0.07Medium 140 $ 0.75
palacios texas zip code 0.00Medium 58 $ 0.10
palacios law firm 0.14Medium 58 $ 6.42
palacios del sil 0.02Medium 1,600 $ 0.28
palacios en austria 0.07Medium 320 $ 0.84
palacios brother 0.01Medium 170 $ 0.10
palacios isd 0.01Medium 1,000 $ 0.47
palacios de manila 0.03Medium 46 $ 0.61
palacios tx real estate 0.39Low 260 $ 1.67
palacios pharmacy 0.16Medium 28 $ 9.85
palacios family crest 0.21Medium 28 $ 0.69
palacios boca 0.02Medium 1,300 $ 0.64
palacios coat of arms 0.26Medium 22 $ 0.34
palacios chamber of commerce 0.02Medium 73 $ 0.15
palacky university czech 0.01Medium 210 $ 0.10
palacios baptist encampment 0.03Medium 91 $ 0.10



TEGRA_table_txt_file: table_3613.txt
TEGRA_TABLE_TEXT: palacky university faculty of medicine 0.05Medium 260 $ 4.68
palacios em portugal 0.16Medium 1,900 $ 0.70
palacky czech 0.01Medium 260 $ 0.10
palacios boca juniors 0.01Medium 320 $ 0.10
palacios mexican restaurant 0.05Medium 58 $ 1.31
palacios y blanco 0.05Medium 2,900 $ 0.50
palacios hardy 0.02Medium 210 $ 0.10
palacios origin 0.07Medium 140 $ 0.75
palacios texas zip code 0.00Medium 58 $ 0.10
palacios law firm 0.14Medium 58 $ 6.42
palacios del sil 0.02Medium 1,600 $ 0.28
palacios en austria 0.07Medium 320 $ 0.84
palacios brother 0.01Medium 170 $ 0.10
palacios isd 0.01Medium 1,000 $ 0.47
palacios de manila 0.03Medium 46 $ 0.61
palacios tx real estate 0.39Low 260 $ 1.67
palacios pharmacy 0.16Medium 28 $ 9.85
palacios family crest 0.21Medium 28 $ 0.69
palacios boca 0.02Medium 1,300 $ 0.64
palacios coat of arms 0.26Medium 22 $ 0.34
palacios chamber of commerce 0.02Medium 73 $ 0.15
palacky university czech 0.01Medium 210 $ 0.10
palacios baptist encampment 0.03Medium 91 $ 0.10
label: palacky university faculty of medicine||0.05Medium||260||$ 4.68
palacios em portugal||0.16Medium||1,900||$ 0.70
palacky czech||0.01Medium||260||$ 0.10
palacios boca juniors||0.01Medium||320||$ 0.10
palacios mexican restaurant||0.05Medium||58||$ 1.31
palacios y blanco||0.05Medium||2,900||$ 0.50
palacios hardy||0.02Medium||210||$ 0.10
palacios origin||0.07Medium||140||$ 0.75
palacios texas zip code||0.00Medium||58||$ 0.10
palacios law firm||0.14Medium||58||$ 6.42
palacios del sil||0.02Medium||1,600||$ 0.28
palacios en austria||0.07Medium||320||$ 0.84
palacios brother||0.01Medium||170||$ 0.10
palacios isd||0.01Medium||1,000||$ 0.47
palacios de manila||0.03Medium||46||$ 0.61
palacios tx real estate||0.39Low||260||$ 1.67
palacios pharmacy||0.16Medium||28||$ 9.85
palacios family crest||0.21Medium||28||$ 0.69
palacios boca||0.02Medium||1,300||$ 0.64
palacios coat of arms||0.26Medium||22||$ 0.34
palacios chamber of commerce||0.02Medium||73||$ 0.15
palacky university czech||0.01Medium||210||$ 0.10
palacios baptist encampment||0.03Medium||91||$ 0.10