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: Strada is a mid-priced family friendly restaurant near the Rainbow Vegetarian Café.
Example Output: name[Strada], food[Italian], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]

Example Input: Zizzi is a non-child friendly coffee shop located near the city centre. While it has high customer reviews, it also has prices ranging from 20-25 pounds.
Example Output: name[Zizzi], eatType[coffee shop], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no]

Example Input: The fast food shop, The Golden Curry, is kids-friendly and has high customer rating.
Example Output:
name[The Golden Curry], food[Fast food], customer rating[high], familyFriendly[yes]