In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: The English pub Zizzi has a 5 out of 5 rating but is not family-friendly.
Example Output: name[Zizzi], eatType[pub], food[English], customer rating[5 out of 5], familyFriendly[no]

Example Input: Off the river in City Centre is a 1 start restaurant called The Waterman.
Example Output: name[The Waterman], eatType[pub], food[English], customer rating[low], area[riverside]

Example Input: The Golden Palace coffee shop is a mid-priced eatery on the riverfront. They serve pasta.
Example Output:
name[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[riverside]