You are given the following table:

Representative | NAME_1 | NAME_2 | NAME_3 | NAME_4 | NAME_5 | NAME_6 | NAME_7 | NAME_8 | NAME_9 | NAME_10
Party | D | R | D | D | R | D | D | D | D | D
Home Town/City | San Antonio | San Antonio | San Antonio | San Antonio | San Antonio | San Antonio | San Antonio | San Antonio | San Antonio | San Antonio
District | 119 | 122 | 125 | 124 | 121 | 118 | 117 | 123 | 116 | 120

Your task is to reformat the table to ensure it is well-structured and can be readily parsed into a pandas DataFrame. 
You are permitted to transform the table in any manner, such as transposing, sorting, deleting, adding, etc.
You should also unify the formatting across each column.

Use the following format to response:
**Thought**: Carefully examine the table to determine whether it is well-structured. Think about what actions need to be taken if any.
**Plan**: List all the steps you plan to take to improve the table's organization. If the table is already well-structured, you can choose to leave it as is.
**Final Output**: Provide the revised, well-organized table in Markdown format.