Table:
occupation
1991
1996
2001
2006
2011

number
percent total
number
percent total
number
percent total
number
percent total
number
percent total

judges
345
14.0
485
21.0
620
22.0
695
25.0
1,095
36.0

lawyers and notaries
14,845
27.0
17,985
31.0
23,185
35.0
29,520
39.0
33,950
42.0

paralegal and related occupations
12,835
76.0
15,875
79.0
24,415
81.0
33,160
88.0
22,145
85.0

probation and parole officers
1,885
50.0
2,165
47.0
3,735
54.0
3,475
59.0
4,200
65.0

correctional service officers
3,960
22.0
4,455
24.0
5,415
29.0
6,285
31.0
7,250
32.0

sworn officers
3,965
7.0
5,635
10.0
8,275
14.0
11,210
18.0
13,600
20.0

Analyze the provided table and extract the contents of specified rows or columns, identified by row or column indices. Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.
Target rows or columns:
the 4th row
the 6th row
the 8th column
the 4th column
the 5th row
the 11th column

The extracted row or column contents are listed below.
For the 4th row: {"row_id": "4", "cell_list": ['lawyers and notaries', '14,845', '27.0', '17,985', '31.0', '23,185', '35.0', '29,520', '39.0', '33,950', '42.0']}
For the 6th row: {"row_id": "6", "cell_list": ['probation and parole officers', '1,885', '50.0', '2,165', '47.0', '3,735', '54.0', '3,475', '59.0', '4,200', '65.0']}
For the 8th column: {"column_id": "8", "cell_list": ['2006', 'number', '695', '29,520', '33,160', '3,475', '6,285', '11,210']}
For the 4th column: {"column_id": "4", "cell_list": ['1996', 'number', '485', '17,985', '15,875', '2,165', '4,455', '5,635']}
For the 5th row: {"row_id": "5", "cell_list": ['paralegal and related occupations', '12,835', '76.0', '15,875', '79.0', '24,415', '81.0', '33,160', '88.0', '22,145', '85.0']}
For the 11th column: {"column_id": "11", "cell_list": ['', 'percent total', '36.0', '42.0', '85.0', '65.0', '32.0', '20.0']}