Table:
Name

#

Height

Weight

Position

Year

Home Town

High School

Dewey Burke

15

6–0

185

Guard

Junior

Philadelphia, PA

Conestoga

Mike Copeland

40

6–7

225

Forward

Freshman

Winston-Salem, NC

R. J. Reynolds

Bobby Frasor

4

6–3

208

Guard

Freshman

Blue Island, IL

Brother Rice

Marcus Ginyard

1

6–5

218

Guard-Forward

Freshman

Alexandria, VA

Bishop O'Connell

Danny Green

14

6–6

210

Guard

Freshman

North Babylon, NY

St. Mary's

Tyler Hansbrough

50

6–9

245

Center

Freshman

Poplar Bluff, MO

Poplar Bluff

Wes Miller

22

5–11

190

Guard

Junior

Charlotte, NC

New Hampton Prep (N. H.)

David Noel

34

6–6

232

Forward

Senior

Durham, NC

Southern Durham

Will Robinson

30

6–6

220

Forward

Senior

Chapel Hill, NC

Chapel Hill

Byron Sanders

41

6–9

238

Forward

Senior

Gulfport, MS

Harrison Central

Reyshawn Terry

3

6–8

232

Forward

Junior

Winston-Salem, NC

R. J. Reynolds

Quentin Thomas

11

6–3

185

Guard

Sophomore

Oakland, CA

Oakland Technical Senior

Thomas Wilkins

31

5–8

175

Guard

Senior

Cary, NC

Green Hope

Surry Wood

24

6–5

205

Forward

Sophomore

Raleigh, NC

Cary Academy

Give you a row index and a table image, extract the corresponding cell values of this row:
the 14th row

Output the cell values in a row as JSON in the format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}, e.g., {"row_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The target cell values of the 14th row: {"row_id": "14", "cell_list": ['thomas wilkins', '31', '5 - 8', '175', 'guard', 'senior', 'cary , nc', 'glen hope']}