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:
UGT ha convocado una huelga indefinida de los guías del Bus Turístic de Barcelona (los ataviados con chaquetas rojas), que empezará el próximo día 10.
Postion	Tokenization
1	UGT
2	ha
3	convocado
4	una
5	huelga
6	indefinida
7	de
8	los
9	guías
10	del
11	Bus
12	Turístic
13	de
14	Barcelona
15	(
16	los
17	ataviados
18	con
19	chaquetas
20	rojas
21	)
22	,
23	que
24	empezará
25	el
26	próximo
27	día
28	10
29	.
Position	Tokenization	UPOS	Head	Deprel
1	UGT	PROPN	3	nsubj
2	ha	AUX	3	aux
3	convocado	VERB	0	root
4	una	DET	5	det
5	huelga	NOUN	3	obj
6	indefinida	ADJ	5	amod
7	de	ADP	9	case
8	los	DET	9	det
9	guías	NOUN	5	nmod
10	del	ADP	11	case
11	Bus	PROPN	9	nmod
12	Turístic	PROPN	11	flat
13	de	ADP	14	case
14	Barcelona	PROPN	11	flat
15	(	PUNCT	17	punct
16	los	DET	17	det
17	ataviados	ADJ	9	appos
18	con	ADP	19	case
19	chaquetas	NOUN	17	obj
20	rojas	ADJ	19	amod
21	)	PUNCT	17	punct
22	,	PUNCT	24	punct
23	que	PRON	24	nsubj
24	empezará	VERB	5	acl
25	el	DET	27	det
26	próximo	ADJ	27	amod
27	día	NOUN	24	obl
28	10	NUM	27	compound
29	.	PUNCT	3	punct