Table:
Naturalisations by origin

2000

2005

2009

% Total 2009

Africa
84 182
98 453
85 144
62.7

Maghreb
68 185
75 224
56 024
41.2

Sub-Saharan Africa
10 622
15 624
22 214
16.4

Other Africa
5 375
7 605
6 906
5.1

Asia
27 941
26 286
19 494
14.4

South-East Asia
7 265
4 069
2 475
1.8

East Asia
1 139
1 280
1 622
1.2

South Asia
4 246
4 436
3 660
2.7

Other Asia
15 291
16 501
11 737
8.6

Europe (not including CIS )
22 085
18 072
14 753
10.9

CIS
1 181
2 108
4 704
3.5

CIS (Europe)
1 000
1 535
4 454
3.3

CIS (Asia)
181
573
250
0.2

America
5 668
6 352
6 677
4.9

North America
1 048
854
747
0.5

South and Central America
4 620
5 498
5 930
4.4

Oceania
87
127
108
0.1

Others
8 882
3 245
4 962
3.7

Total
150 026
154 643
135 842
100

Based on the provided table, please extract the cells' values located at the specified positions, as denoted by row and column indices. Output each cell content as JSON in the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Positions:
row 17 and column 1,
row 8 and column 2,
row 2 and column 3,
row 20 and column 2,
row 16 and column 4,
row 11 and column 3,
row 4 and column 2,
row 14 and column 5,

The target cell values are as follows:
{"row_id":"17", "column_id":"1", "cell_value":"South and Central America"}
{"row_id":"8", "column_id":"2", "cell_value":"1 139"}
{"row_id":"2", "column_id":"3", "cell_value":"98 453"}
{"row_id":"20", "column_id":"2", "cell_value":"150 026"}
{"row_id":"16", "column_id":"4", "cell_value":"747"}
{"row_id":"11", "column_id":"3", "cell_value":"18 072"}
{"row_id":"4", "column_id":"2", "cell_value":"10 622"}
{"row_id":"14", "column_id":"5", "cell_value":"0.2"}