As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
Vraiment un endroit que je recommande à mes amis à Paris : on peut y fumer la chicha, mais j'y vais surtout pour les milkshakes.
Postion	Tokenization
1	Vraiment
2	un
3	endroit
4	que
5	je
6	recommande
7	à
8	mes
9	amis
10	à
11	Paris
12	:
13	on
14	peut
15	y
16	fumer
17	la
18	chicha
19	,
20	mais
21	j'
22	y
23	vais
24	surtout
25	pour
26	les
27	milkshakes
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Vraiment	ADV	3	advmod
2	un	DET	3	det
3	endroit	NOUN	0	root
4	que	PRON	6	obj
5	je	PRON	6	nsubj
6	recommande	VERB	3	acl:relcl
7	à	ADP	9	case
8	mes	DET	9	det
9	amis	NOUN	6	obl:arg
10	à	ADP	11	case
11	Paris	PROPN	9	nmod
12	:	PUNCT	14	punct
13	on	PRON	14	nsubj
14	peut	VERB	6	parataxis
15	y	PRON	16	obl:mod
16	fumer	VERB	14	xcomp:obj
17	la	DET	18	det
18	chicha	NOUN	16	obj
19	,	PUNCT	23	punct
20	mais	CCONJ	23	cc
21	j'	PRON	23	nsubj
22	y	PRON	23	obl:arg
23	vais	VERB	14	conj
24	surtout	ADV	23	advmod
25	pour	ADP	27	case
26	les	DET	27	det
27	milkshakes	NOUN	23	obl:mod
28	.	PUNCT	3	punct