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:
1 AM Showers 36° 31° 6 mph W 81% 40% 0
2 AM Showers 36° 31° 6 mph W 78% 40% 0
3 AM Rain / Snow 36° 31° 6 mph W 75% 20% 0
4 AM Rain / Snow 36° 31° 6 mph W 74% 20% 0
5 AM Rain / Snow 35° 30° 6 mph W 75% 20% 0
6 AM Rain / Snow 34° 28° 7 mph W 76% 20% 0
7 AM Rain / Snow 33° 27° 7 mph W 77% 20% 0
8 AM Rain / Snow 34° 28° 7 mph W 75% 20% 0
9 AM Showers 36° 27° 14 mph WNW 68% 20% 0
10 AM Showers 39° 31° 14 mph WNW 60% 20% 1
11 AM Showers 42° 35° 14 mph WNW 54% 20% 2
12 PM Showers 44° 37° 16 mph WNW 51% 20% 2
1 PM Showers 46° 46° 16 mph WNW 50% 20% 3
2 PM Showers 47° 47° 16 mph WNW 49% 20% 2
3 PM Showers 48° 48° 14 mph W 48% 20% 2
4 PM Showers 47° 47° 14 mph W 48% 20% 1
5 PM Showers 46° 46° 14 mph W 51% 20% 0
6 PM Rain / Snow 43° 39° 7 mph W 58% 40% 0
7 PM Rain / Snow 39° 35° 7 mph W 67% 40% 0
8 PM Rain / Snow 36° 31° 7 mph W 78% 40% 0
9 PM Snow Showers 34° 34° 5 mph SW 84% 20% 0



TEGRA_table_txt_file: table_757.txt
TEGRA_TABLE_TEXT: 1 AM Showers 36° 31° 6 mph W 81% 40% 0
2 AM Showers 36° 31° 6 mph W 78% 40% 0
3 AM Rain / Snow 36° 31° 6 mph W 75% 20% 0
4 AM Rain / Snow 36° 31° 6 mph W 74% 20% 0
5 AM Rain / Snow 35° 30° 6 mph W 75% 20% 0
6 AM Rain / Snow 34° 28° 7 mph W 76% 20% 0
7 AM Rain / Snow 33° 27° 7 mph W 77% 20% 0
8 AM Rain / Snow 34° 28° 7 mph W 75% 20% 0
9 AM Showers 36° 27° 14 mph WNW 68% 20% 0
10 AM Showers 39° 31° 14 mph WNW 60% 20% 1
11 AM Showers 42° 35° 14 mph WNW 54% 20% 2
12 PM Showers 44° 37° 16 mph WNW 51% 20% 2
1 PM Showers 46° 46° 16 mph WNW 50% 20% 3
2 PM Showers 47° 47° 16 mph WNW 49% 20% 2
3 PM Showers 48° 48° 14 mph W 48% 20% 2
4 PM Showers 47° 47° 14 mph W 48% 20% 1
5 PM Showers 46° 46° 14 mph W 51% 20% 0
6 PM Rain / Snow 43° 39° 7 mph W 58% 40% 0
7 PM Rain / Snow 39° 35° 7 mph W 67% 40% 0
8 PM Rain / Snow 36° 31° 7 mph W 78% 40% 0
9 PM Snow Showers 34° 34° 5 mph SW 84% 20% 0
label: 1 AM||Showers||36°||31°||6 mph W||81%||40%||0
2 AM||Showers||36°||31°||6 mph W||78%||40%||0
3 AM||Rain / Snow||36°||31°||6 mph W||75%||20%||0
4 AM||Rain / Snow||36°||31°||6 mph W||74%||20%||0
5 AM||Rain / Snow||35°||30°||6 mph W||75%||20%||0
6 AM||Rain / Snow||34°||28°||7 mph W||76%||20%||0
7 AM||Rain / Snow||33°||27°||7 mph W||77%||20%||0
8 AM||Rain / Snow||34°||28°||7 mph W||75%||20%||0
9 AM||Showers||36°||27°||14 mph WNW||68%||20%||0
10 AM||Showers||39°||31°||14 mph WNW||60%||20%||1
11 AM||Showers||42°||35°||14 mph WNW||54%||20%||2
12 PM||Showers||44°||37°||16 mph WNW||51%||20%||2
1 PM||Showers||46°||46°||16 mph WNW||50%||20%||3
2 PM||Showers||47°||47°||16 mph WNW||49%||20%||2
3 PM||Showers||48°||48°||14 mph W||48%||20%||2
4 PM||Showers||47°||47°||14 mph W||48%||20%||1
5 PM||Showers||46°||46°||14 mph W||51%||20%||0
6 PM||Rain / Snow||43°||39°||7 mph W||58%||40%||0
7 PM||Rain / Snow||39°||35°||7 mph W||67%||40%||0
8 PM||Rain / Snow||36°||31°||7 mph W||78%||40%||0
9 PM||Snow Showers||34°||34°||5 mph SW||84%||20%||0