Table:
Team	Year	National League	McDonagh Cup	Leinster	All-Ireland	Total

Division	Apps	Score	Apps	Score	Apps	Score	Apps	Score	Apps	Score

Offaly	2006	Division 1A	6	4-11	—	2	1-02	3	3-04	11	8-17

2007	6	6-31	—	2	0-02	3	0-01	11	6-34

2008	Division 1B	5	0-07	—	2	0-02	2	3-03	9	3-12

2009	Division 2	8	0-15	—	1	0-02	2	0-04	11	0-21

2010	Division 1	7	1-11	—	3	2-06	2	0-04	12	3-21

2011	7	2-14	—	1	0-03	1	0-01	9	2-18

2012	Division 1B	5	0-13	—	2	1-03	1	0-03	8	1-19

2013	3	1-06	—	1	2-00	1	0-02	5	3-08

2014	6	1-29	—	1	0-01	2	0-08	9	1-38

2015	6	0-14	—	1	0-01	1	0-01	8	0-16

2016	6	2-06	—	5	4-07	1	0-01	12	6-14

2017	—	2	0-01	1	0-03	3	0-04

2018	5	1-17	—	4	2-09	—	9	3-26

2019	4	4-25	0	0-00	—	4	4-25

Career total	74	22-199	0	0-00	27	12-39	20	6-35	121	40-273

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
row 16 and column 12,
row 9 and column 12,
row 3 and column 12,
row 6 and column 9,
row 8 and column 2,
row 10 and column 9,
row 13 and column 10,

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

The extracted cell contents are listed below.
{"row_id":"16", "column_id":"12", "cell_value":"none"}
{"row_id":"9", "column_id":"12", "cell_value":"8"}
{"row_id":"3", "column_id":"12", "cell_value":"11"}
{"row_id":"6", "column_id":"9", "cell_value":"0-02"}
{"row_id":"8", "column_id":"2", "cell_value":"2011"}
{"row_id":"10", "column_id":"9", "cell_value":"2-00"}
{"row_id":"13", "column_id":"10", "cell_value":"1"}