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:
Los grupos de CiU y ERC, en la oposición, han acordado votar la nulidad del contrato de la antena de telefonía móvil que el alcalde, Joan Güell, autorizó.
Postion	Tokenization
1	Los
2	grupos
3	de
4	CiU
5	y
6	ERC
7	,
8	en
9	la
10	oposición
11	,
12	han
13	acordado
14	votar
15	la
16	nulidad
17	del
18	contrato
19	de
20	la
21	antena
22	de
23	telefonía
24	móvil
25	que
26	el
27	alcalde
28	,
29	Joan
30	Güell
31	,
32	autorizó
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	grupos	NOUN	13	nsubj
3	de	ADP	4	case
4	CiU	PROPN	2	nmod
5	y	CCONJ	6	cc
6	ERC	PROPN	4	conj
7	,	PUNCT	10	punct
8	en	ADP	10	case
9	la	DET	10	det
10	oposición	NOUN	2	nmod
11	,	PUNCT	10	punct
12	han	AUX	13	aux
13	acordado	VERB	0	root
14	votar	VERB	13	xcomp
15	la	DET	16	det
16	nulidad	NOUN	14	obj
17	del	ADP	18	case
18	contrato	NOUN	16	nmod
19	de	ADP	21	case
20	la	DET	21	det
21	antena	NOUN	18	nmod
22	de	ADP	23	case
23	telefonía	NOUN	21	nmod
24	móvil	ADJ	23	amod
25	que	PRON	32	obj
26	el	DET	27	det
27	alcalde	NOUN	32	nsubj
28	,	PUNCT	29	punct
29	Joan	PROPN	27	appos
30	Güell	PROPN	29	flat
31	,	PUNCT	29	punct
32	autorizó	VERB	18	acl
33	.	PUNCT	13	punct