Table:
coffee cake	$2 per lb

cream cheese bars	$2 per lb

popcorn balls	$3 per lb

puffed rice bars	$4 per lb

blueberry bars	$4 per lb

Analyze the provided table and extract the contents of specified rows or columns, identified by row or column indices. Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.
Target rows or columns:
row 5,
column 1,

The extracted row or column contents are listed below.
For row 5: {"row_id": "5", "cell_list": ['blueberry bars', '$4 per lb']}
For column 1: {"column_id": "1", "cell_list": ['coffee cake', 'cream cheese bars', 'popcorn balls', 'puffed rice bars', 'blueberry bars']}