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.

Input: Consider Input: Wildwood is a high price, 5 star coffee shop located next to Ranch.

Output: name[Wildwood], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], near[Ranch]


Input: Consider Input: Alimentum is an mid-range Italian restaurant north of the City centre near the Yippee Noodle Bar.

Output: name[Alimentum], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[riverside], near[Yippee Noodle Bar]


Input: Consider Input: The Vaults is a coffee shop located in the city centre near Café Brazil. However, its price range is about 30 euros and it has a low customer rating.


Output: name[The Vaults], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[city centre], near[Café Brazil]