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 Input:
Loch Fyne is a kid friendly Chinese restaurant with a medium-high price range.

Ex Output:
name[Loch Fyne], eatType[restaurant], food[Chinese], priceRange[£20-25], familyFriendly[yes]


Ex Input:
Found a low-priced Chinese restaurant near the Café Rouge pub. It's called The Plough and is family friendly.

Ex Output:
name[The Plough], eatType[pub], food[Chinese], priceRange[cheap], familyFriendly[yes], near[Café Rouge]


Ex Input:
The Waterman is low price  family restaurant with average customer rating.

Ex Output:

name[The Waterman], food[Japanese], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]