Table:
Tie no

Home team

Score

Away team

Date

Attendance

Summary

1
Rochdale
2 – 0
Coventry City
25 January 2003

2
Southampton
1 – 1
Millwall
25 January 2003
23,809

Replay
Millwall
1 – 2
Southampton
5 February 2003
10,197

3
Watford
1 – 0
West Bromwich Albion
25 January 2003
16,975

4
Walsall
2 – 0
Wimbledon
25 January 2003
6,693

5
Gillingham
1 – 1
Leeds United
25 January 2003
11,093

Replay
Leeds United
2 – 1
Gillingham
4 February 2003
29,359

6
Blackburn Rovers
3 – 3
Sunderland
25 January 2003
14,315

Replay
Sunderland
2 – 2
Blackburn Rovers
5 February 2003
15,745

Sunderland won 3 – 0 on penalties

7
Wolverhampton Wanderers
4 – 1
Leicester City
25 January 2003
28,164

8
Shrewsbury Town
0 – 4
Chelsea
26 January 2003
7,950

9
Sheffield United
4 – 3
Ipswich Town
25 January 2003
12,757

10
Fulham
3 – 0
Charlton Athletic
26 January 2003
12,203

11
Brentford
0 – 3
Burnley
25 January 2003
9,563

12
Manchester United
6 – 0
West Ham United
26 January 2003
67,181

13
Norwich City
1 – 0
Dagenham & Redbridge
25 January 2003
21,164

14
Crystal Palace
0 – 0
Liverpool
26 January 2003
26,054

Replay
Liverpool
0 – 2
Crystal Palace
5 February 2003
35,109

15
Farnborough Town
1 – 5
Arsenal
25 January 2003
35,108[4]

16
Stoke City
3 – 0
Bournemouth
26 January 2003
12,004

Examine the given table and identify the contents of cells located at specified locations, denoted by row and column indices. Represent each cell value in the JSON format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}. For instance, {"row_id":"5", "column_id":"4", "cell_value":"missouri 4"}.
Specified positions:
the 17th row and the 2nd column
the 20th row and the 6th column
the 15th row and the 2nd column
the 9th row and the 1st column
the 9th row and the 3rd column
the 14th row and the 3rd column
the 4th row and the 1st column
the 5th row and the 1st column

The target cell values are as follows:
{"row_id":"17", "column_id":"2", "cell_value":"Norwich City"}
{"row_id":"20", "column_id":"6", "cell_value":"35,108"}
{"row_id":"15", "column_id":"2", "cell_value":"Brentford"}
{"row_id":"9", "column_id":"1", "cell_value":"6"}
{"row_id":"9", "column_id":"3", "cell_value":"3 – 3"}
{"row_id":"14", "column_id":"3", "cell_value":"3 – 0"}
{"row_id":"4", "column_id":"1", "cell_value":"Replay"}
{"row_id":"5", "column_id":"1", "cell_value":"3"}