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 Punter is a child friendly coffee shop located near Café Sicilia. It has a high customer rating, and serves English food costing over 30 euro.
Example Output: name[The Punter], eatType[coffee shop], food[English], priceRange[more than £30], customer rating[high], familyFriendly[yes], near[Café Sicilia]

Example Input: The Vaults, is a high priced pub with a 3 out of 5 rating near Café Adriatic.
Example Output: name[The Vaults], eatType[pub], priceRange[high], customer rating[3 out of 5], near[Café Adriatic]

Example Input: In Riverside near to Express by Holiday Inn is children   friendly called The Rice Boat.  it got good rating The  it got fast food  at  price high.
Example Output:
name[The Rice Boat], food[Fast food], priceRange[high], customer rating[average], area[riverside], familyFriendly[yes], near[Express by Holiday Inn]