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: With a high price range and low customer service rating of 1 out of 5, a family-friendly Italian coffee shop named The Eagle has opened in the city centre near Burger King.
Example Output: name[The Eagle], eatType[coffee shop], food[Italian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Burger King]

Example Input: Blue Spice is a cheap, non-family-friendly restaurant in riverside with a 5 out of 5 customer rating.
Example Output: name[Blue Spice], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no]

Example Input: The Vaults restaurant specializes in English cuisine.
Example Output:
name[The Vaults], eatType[restaurant], food[English]