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:
Le film surprend par la justesse de son observation, son style novateur et son anticonformisme, parfaitement représentatifs de la génération des « Jeunes gens en colère » dont le Free cinema est proche.
Postion	Tokenization
1	Le
2	film
3	surprend
4	par
5	la
6	justesse
7	de
8	son
9	observation
10	,
11	son
12	style
13	novateur
14	et
15	son
16	anticonformisme
17	,
18	parfaitement
19	représentatifs
20	de
21	la
22	génération
23	des
24	de
25	les
26	«
27	Jeunes
28	gens
29	en
30	colère
31	»
32	dont
33	le
34	Free
35	cinema
36	est
37	proche
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	film	NOUN	3	nsubj
3	surprend	VERB	0	root
4	par	ADP	6	case
5	la	DET	6	det
6	justesse	NOUN	3	obl:mod
7	de	ADP	9	case
8	son	DET	9	det
9	observation	NOUN	6	nmod
10	,	PUNCT	12	punct
11	son	DET	12	det
12	style	NOUN	6	conj
13	novateur	ADJ	12	amod
14	et	CCONJ	16	cc
15	son	DET	16	det
16	anticonformisme	NOUN	6	conj
17	,	PUNCT	19	punct
18	parfaitement	ADV	19	advmod
19	représentatifs	ADJ	6	amod
20	de	ADP	22	case
21	la	DET	22	det
22	génération	NOUN	19	obl:arg
23	des	_	None	_
24	de	ADP	27	case
25	les	DET	27	det
26	«	PUNCT	27	punct
27	Jeunes	ADJ	27	amod
28	gens	NOUN	22	nmod
29	en	ADP	29	case
30	colère	NOUN	27	nmod
31	»	PUNCT	27	punct
32	dont	PRON	36	obl:arg
33	le	DET	34	det
34	Free	PROPN	34	nmod
35	cinema	PROPN	36	nsubj
36	est	AUX	36	cop
37	proche	ADJ	27	acl:relcl
38	.	PUNCT	3	punct