Table:
1
Brazil
7
5
3
15

2
Venezuela
3
2
8
13

3
Colombia
2
3
4
9

4
Chile
2
0
2
4

5
Argentina
1
2
5
8

6
Peru
1
1
2
4

7
Ecuador
0
2
2
4

8
Guyana
0
1
0
1

9
Aruba
0
0
1
1

9
Netherlands Antilles
0
0
1
1

9
Panama
0
0
1
1

9
Uruguay
0
0
1
1

Total
16
16
30
62

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
the 3rd row and the 2nd column
the 12th row and the 1st column
the 11th row and the 2nd column
the 10th row and the 3rd column
the 1st row and the 3rd column
the 9th row and the 2nd column
the 5th row and the 2nd column
the 13th row and the 5th column

Format each cell value as a JSON, using the structure {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The target cell values are as follows:
{"row_id":"3", "column_id":"2", "cell_value":"Venezuela"}
{"row_id":"12", "column_id":"1", "cell_value":"9"}
{"row_id":"11", "column_id":"2", "cell_value":"Netherlands Antilles"}
{"row_id":"10", "column_id":"3", "cell_value":"0"}
{"row_id":"1", "column_id":"3", "cell_value":"Gold"}
{"row_id":"9", "column_id":"2", "cell_value":"Guyana"}
{"row_id":"5", "column_id":"2", "cell_value":"Chile"}
{"row_id":"13", "column_id":"5", "cell_value":"1"}