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:
En 1994, il fait son premier film, Historias del Kronen, mais c'est en 1996 que sa carrière est définitivement propulsée grâce à Tesis et Ouvre les yeux, tous les deux réalisés par Amenábar.
Postion	Tokenization
1	En
2	1994
3	,
4	il
5	fait
6	son
7	premier
8	film
9	,
10	Historias
11	del
12	Kronen
13	,
14	mais
15	c'
16	est
17	en
18	1996
19	que
20	sa
21	carrière
22	est
23	définitivement
24	propulsée
25	grâce
26	à
27	Tesis
28	et
29	Ouvre
30	les
31	yeux
32	,
33	tous
34	les
35	deux
36	réalisés
37	par
38	Amenábar
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1994	NUM	5	obl:mod
3	,	PUNCT	2	punct
4	il	PRON	5	nsubj
5	fait	VERB	0	root
6	son	DET	8	det
7	premier	ADJ	8	amod
8	film	NOUN	5	obj
9	,	PUNCT	10	punct
10	Historias	PROPN	8	appos
11	del	PROPN	10	flat:name
12	Kronen	PROPN	11	flat:name
13	,	PUNCT	18	punct
14	mais	CCONJ	18	cc
15	c'	PRON	18	expl:subj
16	est	AUX	18	cop
17	en	ADP	18	case
18	1996	NUM	5	conj
19	que	SCONJ	24	mark
20	sa	DET	21	det
21	carrière	NOUN	24	nsubj:pass
22	est	AUX	24	aux:pass
23	définitivement	ADV	24	advmod
24	propulsée	VERB	18	advcl:cleft
25	grâce	NOUN	27	case
26	à	ADP	25	fixed
27	Tesis	PROPN	24	obl:mod
28	et	CCONJ	29	cc
29	Ouvre	VERB	27	conj
30	les	DET	31	det
31	yeux	NOUN	29	obj
32	,	PUNCT	35	punct
33	tous	ADJ	35	amod
34	les	DET	35	det
35	deux	NUM	36	obl:mod
36	réalisés	VERB	27	acl
37	par	ADP	38	case
38	Amenábar	PROPN	36	obl:agent
39	.	PUNCT	5	punct