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:
El coche oficial del conseller de Treball, Lluís Franco, sufrió un derrapaje en la autopista A-2 a la altura del término de Alfés (Segrià), cuando junto a otros tres ocupantes se dirigía a Lleida para reunirse con los hosteleros.
Postion	Tokenization
1	El
2	coche
3	oficial
4	del
5	conseller
6	de
7	Treball
8	,
9	Lluís
10	Franco
11	,
12	sufrió
13	un
14	derrapaje
15	en
16	la
17	autopista
18	A-2
19	a
20	la
21	altura
22	del
23	término
24	de
25	Alfés
26	(
27	Segrià
28	)
29	,
30	cuando
31	junto
32	a
33	otros
34	tres
35	ocupantes
36	se
37	dirigía
38	a
39	Lleida
40	para
41	reunirse
42	reunir
43	se
44	con
45	los
46	hosteleros
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	coche	NOUN	12	nsubj
3	oficial	ADJ	2	amod
4	del	ADP	5	case
5	conseller	NOUN	2	nmod
6	de	ADP	7	case
7	Treball	PROPN	5	nmod
8	,	PUNCT	9	punct
9	Lluís	PROPN	5	appos
10	Franco	PROPN	9	flat
11	,	PUNCT	9	punct
12	sufrió	VERB	0	root
13	un	DET	14	det
14	derrapaje	NOUN	12	obj
15	en	ADP	17	case
16	la	DET	17	det
17	autopista	NOUN	12	obl
18	A-2	PROPN	17	appos
19	a	ADP	21	case
20	la	DET	21	det
21	altura	NOUN	12	obl
22	del	ADP	23	case
23	término	NOUN	21	nmod
24	de	ADP	25	case
25	Alfés	PROPN	23	nmod
26	(	PUNCT	27	punct
27	Segrià	PROPN	25	flat
28	)	PUNCT	27	punct
29	,	PUNCT	37	punct
30	cuando	SCONJ	37	mark
31	junto	ADJ	35	case
32	a	ADP	31	fixed
33	otros	DET	35	det
34	tres	NUM	33	nummod
35	ocupantes	NOUN	37	obl
36	se	PRON	37	expl:pv
37	dirigía	VERB	12	advcl
38	a	ADP	39	case
39	Lleida	PROPN	37	obl
40	para	ADP	41	mark
41	reunirse	_	None	_
42	reunir	VERB	37	advcl
43	se	PRON	41	expl:pv
44	con	ADP	45	case
45	los	DET	45	det
46	hosteleros	NOUN	41	obj
47	.	PUNCT	12	punct