Table:
Name
Compartment
Action
Nerve
Artery

Peroneus longus
lateral compartment
eversion and plantarflexion
superficial fibular nerve
fibular artery

Peroneus brevis
lateral compartment
eversion and plantarflexion
superficial fibular nerve
fibular artery

Peroneus tertius
anterior compartment
eversion and dorsiflexion
deep fibular nerve
anterior tibial artery

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
row 3 and column 5
row 1 and column 3
row 2 and column 1
row 1 and column 4
row 2 and column 2

Format each cell value as a JSON, using the structure {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The target cell values are as follows:
{"row_id":"3", "column_id":"5", "cell_value":"fibular artery"}
{"row_id":"1", "column_id":"3", "cell_value":"Action"}
{"row_id":"2", "column_id":"1", "cell_value":"Peroneus longus"}
{"row_id":"1", "column_id":"4", "cell_value":"Nerve"}
{"row_id":"2", "column_id":"2", "cell_value":"lateral compartment"}