Table:
Place
Player
Country
Score
To par
Money ($)

1
Ralph Guldahl
United States
72-68-70-69=279
–9
1,500

2
Sam Snead
United States
70-70-72-68=280
–8
800

T3
Billy Burke
United States
69-72-71-70=282
–6
550

Lawson Little
United States
72-72-68-70=282

5
Gene Sarazen
United States
73-66-72-72=283
–5
400

6
Craig Wood
United States
72-73-71-68=284
–4
300

7
Byron Nelson
United States
71-69-72-75=287
–1
250

8
Henry Picard
United States
71-71-76-71=289
+1
175

9
Ben Hogan
United States
75-71-72-72=290
+2
125

T10
Ed Dudley
United States
75-75-69-72=291
+3
100

Toney Penna
United States
72-75-72-72=291

Inspect the given table and provide the values of cells found at the specified positions, determined by row and column indices. Format each cell value as a JSON, using the structure {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Positions:
the 12th row and the 2nd column,
the 6th row and the 3rd column,

The target cell values are as follows:
{"row_id":"12", "column_id":"2", "cell_value":"Toney Penna"}
{"row_id":"6", "column_id":"3", "cell_value":"United States"}