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:
Cuesta entender que el asunto Òmnium se haya convertido en una batalla en la que hasta el president Pujol ha tenido que intervenir.
Postion	Tokenization
1	Cuesta
2	entender
3	que
4	el
5	asunto
6	Òmnium
7	se
8	haya
9	convertido
10	en
11	una
12	batalla
13	en
14	la
15	que
16	hasta
17	el
18	president
19	Pujol
20	ha
21	tenido
22	que
23	intervenir
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuesta	VERB	0	root
2	entender	VERB	1	csubj
3	que	SCONJ	2	mark
4	el	DET	5	det
5	asunto	NOUN	2	nsubj
6	Òmnium	PROPN	5	appos
7	se	PRON	2	expl:pv
8	haya	AUX	2	aux
9	convertido	VERB	2	xcomp
10	en	ADP	12	case
11	una	DET	12	det
12	batalla	NOUN	9	obj
13	en	ADP	15	case
14	la	DET	15	det
15	que	PRON	23	obj
16	hasta	ADV	18	advmod
17	el	DET	18	det
18	president	NOUN	23	nsubj
19	Pujol	PROPN	18	appos
20	ha	AUX	23	aux
21	tenido	VERB	12	acl
22	que	SCONJ	23	cc
23	intervenir	VERB	21	conj
24	.	PUNCT	1	punct