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:
Chris Evans devrait logiquement retrouver le costume du super héros patriotique puisqu'il a signé un contrat le liant à neuf films Marvel.
Postion	Tokenization
1	Chris
2	Evans
3	devrait
4	logiquement
5	retrouver
6	le
7	costume
8	du
9	de
10	le
11	super
12	héros
13	patriotique
14	puisqu'
15	il
16	a
17	signé
18	un
19	contrat
20	le
21	liant
22	à
23	neuf
24	films
25	Marvel
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Chris	PROPN	3	nsubj
2	Evans	PROPN	1	flat:name
3	devrait	VERB	0	root
4	logiquement	ADV	3	advmod
5	retrouver	VERB	3	xcomp:obj
6	le	DET	7	det
7	costume	NOUN	5	obj
8	du	_	None	_
9	de	ADP	11	case
10	le	DET	11	det
11	super	ADJ	11	amod
12	héros	NOUN	7	nmod
13	patriotique	ADJ	11	amod
14	puisqu'	SCONJ	16	mark
15	il	PRON	16	nsubj
16	a	AUX	16	aux:tense
17	signé	VERB	5	advcl
18	un	DET	18	det
19	contrat	NOUN	16	obj
20	le	PRON	20	obj
21	liant	VERB	18	acl
22	à	ADP	23	case
23	neuf	NUM	23	nummod
24	films	NOUN	20	obl:arg
25	Marvel	PROPN	23	appos
26	.	PUNCT	3	punct