Table:
position	club	played	points	wins	draws	losses	goals for	goals against	goal difference

1	hércules cf	30	39	16	7	7	44	24	+ 20

2	granada cf	30	37	16	5	9	40	29	+ 11

3	algeciras cf	30	35	14	7	9	42	29	+ 13

4	real valladolid	30	35	13	9	8	49	32	+ 17

5	levante ud	30	34	13	8	9	42	22	+ 20

6	cd mestalla	30	33	10	13	7	45	44	+ 1

7	cf calvo sotelo	30	32	13	6	11	33	36	- 3

8	cd tenerife	30	32	13	6	11	40	34	+ 6

9	rayo vallecano	30	31	12	7	11	37	26	+ 11

10	real murcia	30	29	12	5	13	31	37	- 6

11	recreativo de huelva	30	29	11	7	12	31	30	+ 1

12	cádiz cf	30	27	10	7	13	25	28	- 3

13	cd constancia	30	26	10	6	14	34	49	- 15

14	atlético ceuta	30	25	11	3	16	35	47	- 12

15	melilla cf	30	20	7	6	17	26	51	- 25

16	cd badajoz	30	16	4	8	18	22	58	- 36

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
the 16th row and the 5th column,
the 10th row and the 1st column,
the 3rd row and the 4th column,
the 16th row and the 6th column,
the 15th row and the 7th column,
the 7th row and the 8th column,
the 14th row and the 7th column,
the 1st row and the 2nd column,
the 16th row and the 9th column,

Return each cell value as JSON in the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The target cell values are as follows:
{"row_id":"16", "column_id":"5", "cell_value":"7"}
{"row_id":"10", "column_id":"1", "cell_value":"9"}
{"row_id":"3", "column_id":"4", "cell_value":"37"}
{"row_id":"16", "column_id":"6", "cell_value":"6"}
{"row_id":"15", "column_id":"7", "cell_value":"16"}
{"row_id":"7", "column_id":"8", "cell_value":"45"}
{"row_id":"14", "column_id":"7", "cell_value":"14"}
{"row_id":"1", "column_id":"2", "cell_value":"club"}
{"row_id":"16", "column_id":"9", "cell_value":"51"}