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:
Gracias a ellos, al final el tren paró después de saltarse a la torera las estaciones de Plaza de Castilla, Ventilla y Barrio del Pilar.
Postion	Tokenization
1	Gracias
2	a
3	ellos
4	,
5	al
6	final
7	el
8	tren
9	paró
10	después
11	de
12	saltarse
13	saltar
14	se
15	a
16	la
17	torera
18	las
19	estaciones
20	de
21	Plaza
22	de
23	Castilla
24	,
25	Ventilla
26	y
27	Barrio
28	del
29	Pilar
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Gracias	NOUN	3	case
2	a	ADP	1	fixed
3	ellos	PRON	9	obl
4	,	PUNCT	3	punct
5	al	ADP	9	advmod
6	final	NOUN	5	fixed
7	el	DET	8	det
8	tren	NOUN	9	nsubj
9	paró	VERB	0	root
10	después	ADV	9	advmod
11	de	ADP	12	mark
12	saltarse	_	None	_
13	saltar	VERB	10	advcl
14	se	PRON	12	iobj
15	a	ADP	12	advmod
16	la	DET	14	fixed
17	torera	NOUN	14	fixed
18	las	DET	18	det
19	estaciones	NOUN	12	obj
20	de	ADP	20	case
21	Plaza	PROPN	18	nmod
22	de	ADP	22	case
23	Castilla	PROPN	20	flat
24	,	PUNCT	24	punct
25	Ventilla	PROPN	20	conj
26	y	CCONJ	26	cc
27	Barrio	PROPN	20	conj
28	del	ADP	28	case
29	Pilar	PROPN	26	flat
30	.	PUNCT	9	punct