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:
Cuatro grandes grúas y dos trenes taller, capacitados para reparar y reponer infraestructuras, trabajaron ayer en Torredembarra con el objetivo de que el próximo Jueves las vías puedan recuperar el servicio.
Postion	Tokenization
1	Cuatro
2	grandes
3	grúas
4	y
5	dos
6	trenes
7	taller
8	,
9	capacitados
10	para
11	reparar
12	y
13	reponer
14	infraestructuras
15	,
16	trabajaron
17	ayer
18	en
19	Torredembarra
20	con
21	el
22	objetivo
23	de
24	que
25	el
26	próximo
27	Jueves
28	las
29	vías
30	puedan
31	recuperar
32	el
33	servicio
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuatro	NUM	3	nummod
2	grandes	ADJ	3	amod
3	grúas	NOUN	16	nsubj
4	y	CCONJ	6	cc
5	dos	NUM	6	nummod
6	trenes	NOUN	3	conj
7	taller	NOUN	6	nmod
8	,	PUNCT	9	punct
9	capacitados	ADJ	6	amod
10	para	ADP	11	mark
11	reparar	VERB	9	advcl
12	y	CCONJ	13	cc
13	reponer	VERB	11	conj
14	infraestructuras	NOUN	11	obj
15	,	PUNCT	9	punct
16	trabajaron	VERB	0	root
17	ayer	ADV	16	advmod
18	en	ADP	19	case
19	Torredembarra	PROPN	16	obl
20	con	ADP	31	mark
21	el	DET	20	fixed
22	objetivo	NOUN	20	fixed
23	de	ADP	20	fixed
24	que	SCONJ	31	mark
25	el	DET	27	det
26	próximo	ADJ	27	amod
27	Jueves	NOUN	31	obl
28	las	DET	29	det
29	vías	NOUN	31	nsubj
30	puedan	AUX	31	aux
31	recuperar	VERB	16	advcl
32	el	DET	33	det
33	servicio	NOUN	31	obj
34	.	PUNCT	16	punct