Table:
December 31,

2019	2018

FCC licenses	$ 136.2	$ 120.6

State licenses	2.5	2.5

Total	$ 138.7	$ 123.1

Given a table image, your task is to extract the cells' values in the following rows or columns:
column 3,
row 2,
row 4,
row 1,
row 3,
column 2,

Task requirements: 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"]}.

The cell values of target rows or columns are as follows:
For column 3: {"column_id": "3", "cell_list": ['', '2018', '$ 120.6', '2.5', '$ 123.1']}
For row 2: {"row_id": "2", "cell_list": ['', '2019', '2018']}
For row 4: {"row_id": "4", "cell_list": ['State licenses', '2.5', '2.5']}
For row 1: {"row_id": "1", "cell_list": ['', 'December 31,', '']}
For row 3: {"row_id": "3", "cell_list": ['FCC licenses', '$ 136.2', '$ 120.6']}
For column 2: {"column_id": "2", "cell_list": ['December 31,', '2019', '$ 136.2', '2.5', '$ 138.7']}