Table:
Season

Class

Moto

Races

Win

Podiums

Pole

Pts

Position

2004

125cc

Aprilia

1

0

0

0

0

NC

2005

125cc

Derbi

13

0

0

0

1

36th

2006

125cc

Derbi

16

0

0

0

53

14th

2007

125cc

Derbi

17

0

0

0

19

22nd

2008

125cc

Aprilia

17

1

5

0

176

5th

2009

125cc

Aprilia

16

1

4

0

179.5

3rd

2010

125cc

Aprilia

16

3

14

1

296

2nd

2011

125cc

Aprilia

16

8

11

7

302

1st

2012

Moto2

Suter

17

0

1

0

37

17th

2013

Moto2

Suter

17

3

4

1

150

7th

2014

Moto2

Suter

1

0

0

0

0*

NC*

Total

147

16

39

9

1213.5

Analyze the provided table and extract the contents of specified rows or columns, identified by row or column indices. Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.
Target rows or columns:
row 10,
column 8,
row 1,

The extracted row or column contents are listed below.
For row 10: {"row_id": "10", "cell_list": ['2012', 'Moto2', 'Suter', '17', '0', '1', '0', '37', '17th']}
For column 8: {"column_id": "8", "cell_list": ['Pts', '0', '1', '53', '19', '176', '179.5', '296', '302', '37', '150', '0*', '1213.5']}
For row 1: {"row_id": "1", "cell_list": ['Season', 'Class', 'Moto', 'Races', 'Win', 'Podiums', 'Pole', 'Pts', 'Position']}