Table:
2011
2015

thousands
percentage
thousands
percentage

persons eligible to vote
24,919.2
100.0
26,079.4
100.0

aboriginal people
604.3
2.4
719.6
2.8

canadian-born, non-aboriginal persons
19,288.0
77.4
19,832.1
76.0

immigrants
4,859.3
19.5
5,366.5
20.6

born outside canada, non-immigrants
167.7
0.7
161.3
0.6

voters
17,445.1
100.0
20,080.8
100.0

aboriginal people
323.2
1.9
490.3
2.4

canadian-born, non-aboriginal persons
13,677.8
78.4
15,443.6
76.9

immigrants
3,329.9
19.1
4,019.4
20.0

born outside canada, non-immigrants
114.1
0.7
127.7
0.6

Given a table image, your task is to extract the cells' values in the following rows or columns:
the 9th row
the 1st column
the 3rd column
the 12th row
the 2nd row
the 2nd column

Task requirements: Provide the cells in each row or column in the JSON structure, using the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}.

The cell values of target rows or columns are as follows:
For the 9th row: {"row_id": "9", "cell_list": ['aboriginal people', '323.2', '1.9', '490.3', '2.4']}
For the 1st column: {"column_id": "1", "cell_list": ['', '', 'persons eligible to vote', 'aboriginal people', 'canadian-born, non-aboriginal persons', 'immigrants', 'born outside canada, non-immigrants', 'voters', 'aboriginal people', 'canadian-born, non-aboriginal persons', 'immigrants', 'born outside canada, non-immigrants']}
For the 3rd column: {"column_id": "3", "cell_list": ['', 'percentage', '100.0', '2.4', '77.4', '19.5', '0.7', '100.0', '1.9', '78.4', '19.1', '0.7']}
For the 12th row: {"row_id": "12", "cell_list": ['born outside canada, non-immigrants', '114.1', '0.7', '127.7', '0.6']}
For the 2nd row: {"row_id": "2", "cell_list": ['', 'thousands', 'percentage', 'thousands', 'percentage']}
For the 2nd column: {"column_id": "2", "cell_list": ['2011', 'thousands', '24,919.2', '604.3', '19,288.0', '4,859.3', '167.7', '17,445.1', '323.2', '13,677.8', '3,329.9', '114.1']}