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:
Hoy Marc Gené ha tenido que utilizar dos juegos para hacer el trabajo que otras escuderías han hecho en tres días y con la posibilidad de cambiar las ruedas cada quince o veinte vueltas.
Postion	Tokenization
1	Hoy
2	Marc
3	Gené
4	ha
5	tenido
6	que
7	utilizar
8	dos
9	juegos
10	para
11	hacer
12	el
13	trabajo
14	que
15	otras
16	escuderías
17	han
18	hecho
19	en
20	tres
21	días
22	y
23	con
24	la
25	posibilidad
26	de
27	cambiar
28	las
29	ruedas
30	cada
31	quince
32	o
33	veinte
34	vueltas
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Hoy	ADV	7	advmod
2	Marc	PROPN	7	nsubj
3	Gené	PROPN	2	flat
4	ha	AUX	7	aux
5	tenido	VERB	0	root
6	que	SCONJ	7	cc
7	utilizar	VERB	5	conj
8	dos	NUM	9	nummod
9	juegos	NOUN	7	obj
10	para	ADP	11	mark
11	hacer	VERB	7	advcl
12	el	DET	13	det
13	trabajo	NOUN	11	obj
14	que	PRON	18	obj
15	otras	DET	16	det
16	escuderías	NOUN	18	nsubj
17	han	AUX	18	aux
18	hecho	VERB	13	acl
19	en	ADP	21	case
20	tres	NUM	21	nummod
21	días	NOUN	18	obl
22	y	CCONJ	25	cc
23	con	ADP	25	case
24	la	DET	25	det
25	posibilidad	NOUN	11	conj
26	de	ADP	27	mark
27	cambiar	VERB	25	acl
28	las	DET	29	det
29	ruedas	NOUN	27	obj
30	cada	PRON	31	nmod
31	quince	NUM	27	obl
32	o	CCONJ	34	cc
33	veinte	NUM	34	nummod
34	vueltas	NOUN	31	conj
35	.	PUNCT	5	punct