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.

[EX Q]: The customer rating is high but it is children-friendly but the name is Strada
[EX A]: name[Strada], priceRange[more than £30], customer rating[high], familyFriendly[yes]

[EX Q]: Fitzbillies is a moderately priced restaurant near to Rainbow Vegetarian Café.
[EX A]: name[Fitzbillies], priceRange[moderate], near[Rainbow Vegetarian Café]

[EX Q]: The Vaults is a fast food restaurant that is children friendly with a price range of more than £30.
[EX A]:
name[The Vaults], food[Fast food], priceRange[more than £30], familyFriendly[yes]