Table:
with a university degree
sample size

fathers
mothers
fathers
mothers

percent
number

second generation groups

south asian
30.8
21.9
11,849
11,778

black
16.8
7.9
7,416
10,063

chinese
33.6
19.7
9,919
10,197

filipino
33.2
35.9
2,917
3,923

southeast asian
18.5
8.7
2,254
2,589

west asian/arab
33.7
21.7
4,662
3,839

latin american
13.6
9.6
1,896
2,644

korean
42.5
27.4
830
935

japanese
38.1
22.6
351
483

white
17.8
13.3
74,368
71,695

all second generation
21.6
15.2
117,167
119,011

third-plus generation whites
15.2
10.6
492,854
560,890

Analyze the provided table and extract the contents of cells located at the specified positions, identified by row and column indices. Format each cell value as a JSON, using the structure {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Positions:
the 14th row and the 4th column
the 10th row and the 1st column
the 2nd row and the 2nd column
the 16th row and the 1st column
the 10th row and the 5th column
the 16th row and the 5th column
the 9th row and the 3rd column

The extracted cell contents are listed below.
{"row_id":"14", "column_id":"4", "cell_value":"74,368"}
{"row_id":"10", "column_id":"1", "cell_value":"west asian/arab"}
{"row_id":"2", "column_id":"2", "cell_value":"fathers"}
{"row_id":"16", "column_id":"1", "cell_value":"third-plus generation whites"}
{"row_id":"10", "column_id":"5", "cell_value":"3,839"}
{"row_id":"16", "column_id":"5", "cell_value":"560,890"}
{"row_id":"9", "column_id":"3", "cell_value":"8.7"}