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: The Olive Grove is a pub specializing in fast food. It's located in the city centre with a moderate price range. The Olive Grove is not a kid friendly restaurant.
Example Output: name[The Olive Grove], eatType[pub], food[Fast food], priceRange[moderate], area[city centre], familyFriendly[no]

Example Input: The Cambridge Blue is a pub near Café Brazil that provides English food with a price range of more than £30.
Example Output: name[The Cambridge Blue], eatType[pub], food[English], priceRange[more than £30], near[Café Brazil]

Example Input: Near the Café Adriatic, in the riverside area, there is a cheap restaurant called the Travellers Rest Beefeater it has a customer rating of 5 out of 5
Example Output:
name[Travellers Rest Beefeater], priceRange[cheap], customer rating[5 out of 5], area[riverside], near[Café Adriatic]