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:
También paralizaban a los camiones articulados a una y otra boca del túnel de Vielha, ciudad que registró una de las nevadas más contundentes, pese a que alguna de sus tiendas ya lucía en los escaparates ropa de baño para el verano.
Postion	Tokenization
1	También
2	paralizaban
3	a
4	los
5	camiones
6	articulados
7	a
8	una
9	y
10	otra
11	boca
12	del
13	túnel
14	de
15	Vielha
16	,
17	ciudad
18	que
19	registró
20	una
21	de
22	las
23	nevadas
24	más
25	contundentes
26	,
27	pese
28	a
29	que
30	alguna
31	de
32	sus
33	tiendas
34	ya
35	lucía
36	en
37	los
38	escaparates
39	ropa
40	de
41	baño
42	para
43	el
44	verano
45	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	paralizaban	VERB	0	root
3	a	ADP	5	case
4	los	DET	5	det
5	camiones	NOUN	2	obj
6	articulados	ADJ	5	amod
7	a	ADP	11	case
8	una	DET	11	det
9	y	CCONJ	10	cc
10	otra	PRON	8	conj
11	boca	NOUN	2	obl
12	del	ADP	13	case
13	túnel	NOUN	11	nmod
14	de	ADP	15	case
15	Vielha	PROPN	13	nmod
16	,	PUNCT	17	punct
17	ciudad	NOUN	15	appos
18	que	PRON	19	nsubj
19	registró	VERB	17	acl
20	una	PRON	19	obj
21	de	ADP	23	case
22	las	DET	23	det
23	nevadas	NOUN	20	nmod
24	más	ADV	25	advmod
25	contundentes	ADJ	23	amod
26	,	PUNCT	35	punct
27	pese	NOUN	35	mark
28	a	ADP	27	fixed
29	que	SCONJ	27	fixed
30	alguna	PRON	35	nsubj
31	de	ADP	33	case
32	sus	DET	33	det
33	tiendas	NOUN	30	nmod
34	ya	ADV	35	advmod
35	lucía	VERB	19	advcl
36	en	ADP	38	case
37	los	DET	38	det
38	escaparates	NOUN	35	obl
39	ropa	NOUN	35	obj
40	de	ADP	41	case
41	baño	NOUN	39	nmod
42	para	ADP	44	case
43	el	DET	44	det
44	verano	NOUN	39	nmod
45	.	PUNCT	2	punct