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: Found a low-priced Chinese restaurant near the Café Rouge pub. It's called The Plough and is family friendly.
Example Output: name[The Plough], eatType[pub], food[Chinese], priceRange[cheap], familyFriendly[yes], near[Café Rouge]

Example Input: A child friendly restaurant with high prices is Travellers Rest Beefeater.
Example Output: name[Travellers Rest Beefeater], eatType[restaurant], priceRange[high], familyFriendly[yes]

Example Input: Near Café Brazil, there's The Vaults coffee shop.  It has a 5 out of 5 customer rating and a price range of more than  £30.
Example Output:
name[The Vaults], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[riverside], near[Café Brazil]