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 líder de los socialistas catalanes quiere evitar así que el president utilice las conversaciones con la oposición para prolongar su estrategia de gobernar en minoría sin casarse con nadie.
Postion	Tokenization
1	El
2	líder
3	de
4	los
5	socialistas
6	catalanes
7	quiere
8	evitar
9	así
10	que
11	el
12	president
13	utilice
14	las
15	conversaciones
16	con
17	la
18	oposición
19	para
20	prolongar
21	su
22	estrategia
23	de
24	gobernar
25	en
26	minoría
27	sin
28	casarse
29	casar
30	se
31	con
32	nadie
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	líder	NOUN	7	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	socialistas	NOUN	2	nmod
6	catalanes	ADJ	5	amod
7	quiere	VERB	0	root
8	evitar	VERB	7	xcomp
9	así	ADV	8	advmod
10	que	SCONJ	13	mark
11	el	DET	12	det
12	president	NOUN	13	nsubj
13	utilice	VERB	8	ccomp
14	las	DET	15	det
15	conversaciones	NOUN	13	obj
16	con	ADP	18	case
17	la	DET	18	det
18	oposición	NOUN	15	nmod
19	para	ADP	20	mark
20	prolongar	VERB	13	advcl
21	su	DET	22	det
22	estrategia	NOUN	20	obj
23	de	ADP	24	mark
24	gobernar	VERB	22	acl
25	en	ADP	26	case
26	minoría	NOUN	24	obl
27	sin	ADP	28	mark
28	casarse	_	None	_
29	casar	VERB	24	advcl
30	se	PRON	28	expl:pv
31	con	ADP	31	case
32	nadie	PRON	28	obl
33	.	PUNCT	7	punct