Table:
Year

Chassis

Engine

Start

Finish

Team

2001

Dallara

Oldsmobile

11

1

Team Penske

2002

Dallara

Chevrolet

13

1

Team Penske

2003

Dallara

Toyota

1

2

Team Penske

2004

Dallara

Toyota

8

9

Team Penske

2005

Dallara

Toyota

5

9

Team Penske

2006

Dallara

Honda

2

25

Team Penske

2007

Dallara

Honda

1

3

Team Penske

2008

Dallara

Honda

4

4

Team Penske

2009

Dallara

Honda

1

1

Team Penske

2010

Dallara

Honda

1

9

Team Penske

2011

Dallara

Honda

16

17

Team Penske

2012

Dallara

Chevrolet

6

10

Team Penske

2013

Dallara

Chevrolet

8

6

Team Penske

the 2nd column
the 10th row
the 1st row
the 3rd column
Extract the contents of cells in the above rows or columns, identified by row or column indices. Show the cells in each row or column in the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For example, {"row_id":"3", "cell_list": ["A", "B", "C"]}.

The cell values of target rows or columns are as follows:
For the 2nd column: {"column_id": "2", "cell_list": ['Chassis', 'Dallara', 'Dallara', 'Dallara', 'Dallara', 'Dallara', 'Dallara', 'Dallara', 'Dallara', 'Dallara', 'Dallara', 'Dallara', 'Dallara', 'Dallara']}
For the 10th row: {"row_id": "10", "cell_list": ['2009', 'Dallara', 'Honda', '1', '1', 'Team Penske']}
For the 1st row: {"row_id": "1", "cell_list": ['Year', 'Chassis', 'Engine', 'Start', 'Finish', 'Team']}
For the 3rd column: {"column_id": "3", "cell_list": ['Engine', 'Oldsmobile', 'Chevrolet', 'Toyota', 'Toyota', 'Toyota', 'Honda', 'Honda', 'Honda', 'Honda', 'Honda', 'Honda', 'Chevrolet', 'Chevrolet']}