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:
Galera, que después de hacer campaña sin ropa se dio un baño refrescante, explicó a EFE que al desnudarse han pretendido realizar una campaña alternativa a los tradicionales mítines políticos.
Postion	Tokenization
1	Galera
2	,
3	que
4	después
5	de
6	hacer
7	campaña
8	sin
9	ropa
10	se
11	dio
12	un
13	baño
14	refrescante
15	,
16	explicó
17	a
18	EFE
19	que
20	al
21	desnudarse
22	desnudar
23	se
24	han
25	pretendido
26	realizar
27	una
28	campaña
29	alternativa
30	a
31	los
32	tradicionales
33	mítines
34	políticos
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Galera	PROPN	16	nsubj
2	,	PUNCT	11	punct
3	que	PRON	11	nsubj
4	después	ADV	11	advmod
5	de	ADP	6	mark
6	hacer	VERB	4	advcl
7	campaña	NOUN	6	obj
8	sin	ADP	9	case
9	ropa	NOUN	6	obl
10	se	PRON	11	iobj
11	dio	VERB	1	acl
12	un	DET	13	det
13	baño	NOUN	11	obj
14	refrescante	ADJ	13	amod
15	,	PUNCT	11	punct
16	explicó	VERB	0	root
17	a	ADP	18	case
18	EFE	PROPN	16	iobj
19	que	SCONJ	24	mark
20	al	ADP	21	mark
21	desnudarse	_	None	_
22	desnudar	VERB	24	advcl
23	se	PRON	21	obj
24	han	AUX	24	aux
25	pretendido	VERB	16	ccomp
26	realizar	VERB	24	xcomp
27	una	DET	27	det
28	campaña	NOUN	25	obj
29	alternativa	ADJ	27	amod
30	a	ADP	32	case
31	los	DET	32	det
32	tradicionales	ADJ	32	amod
33	mítines	NOUN	28	nmod
34	políticos	ADJ	32	amod
35	.	PUNCT	16	punct