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: Bibimbap House is a moderately priced restaurant who's main cuisine is English food. You will find this local gem near Clare Hall in the Riverside area.
Example Output: name[Bibimbap House], food[English], priceRange[moderate], area[riverside], near[Clare Hall]

Example Input: There is a non children-friendly coffee shop with a low rating and a price range with more than £30 called Blue Spice and is located in the city centre near Avalon.
Example Output: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no], near[Avalon]

Example Input: I love the food at Wildwood pub. They have the best burgers.
Example Output:
name[Wildwood], eatType[pub], food[Fast food], priceRange[more than £30], customer rating[high]