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:
Este nuevo vial permitirá que los vehículos que proceden de las comarcas del Baix Camp y Alt Camp puedan incorporarse a la circunvalación que se abrió al tráfico el pasado viernes y que ha permitido eliminar el paso de más de 5.000 vehículos diarios por el casco urbano de la población.
Postion	Tokenization
1	Este
2	nuevo
3	vial
4	permitirá
5	que
6	los
7	vehículos
8	que
9	proceden
10	de
11	las
12	comarcas
13	del
14	Baix
15	Camp
16	y
17	Alt
18	Camp
19	puedan
20	incorporarse
21	incorporar
22	se
23	a
24	la
25	circunvalación
26	que
27	se
28	abrió
29	al
30	tráfico
31	el
32	pasado
33	viernes
34	y
35	que
36	ha
37	permitido
38	eliminar
39	el
40	paso
41	de
42	más
43	de
44	5.000
45	vehículos
46	diarios
47	por
48	el
49	casco
50	urbano
51	de
52	la
53	población
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	DET	3	det
2	nuevo	ADJ	3	amod
3	vial	NOUN	4	nsubj
4	permitirá	VERB	0	root
5	que	SCONJ	20	mark
6	los	DET	7	det
7	vehículos	NOUN	20	nsubj
8	que	PRON	9	nsubj
9	proceden	VERB	7	acl
10	de	ADP	12	case
11	las	DET	12	det
12	comarcas	NOUN	9	obj
13	del	ADP	14	case
14	Baix	ADJ	12	nmod
15	Camp	PROPN	14	flat
16	y	CCONJ	17	cc
17	Alt	PROPN	14	conj
18	Camp	PROPN	17	flat
19	puedan	AUX	20	aux
20	incorporarse	_	None	_
21	incorporar	VERB	4	xcomp
22	se	PRON	20	expl:pv
23	a	ADP	24	case
24	la	DET	24	det
25	circunvalación	NOUN	20	obj
26	que	PRON	27	nsubj
27	se	PRON	27	expl:pass
28	abrió	VERB	24	acl
29	al	ADP	29	case
30	tráfico	NOUN	27	obl
31	el	DET	32	det
32	pasado	ADJ	32	amod
33	viernes	NOUN	27	obl
34	y	CCONJ	36	cc
35	que	PRON	36	nsubj
36	ha	AUX	36	aux
37	permitido	VERB	27	conj
38	eliminar	VERB	36	xcomp
39	el	DET	39	det
40	paso	NOUN	37	obj
41	de	ADP	44	case
42	más	ADV	44	advmod
43	de	ADP	41	case
44	5.000	NUM	41	nummod
45	vehículos	NOUN	39	nmod
46	diarios	ADJ	44	amod
47	por	ADP	48	case
48	el	DET	48	det
49	casco	NOUN	39	nmod
50	urbano	ADJ	48	amod
51	de	ADP	52	case
52	la	DET	52	det
53	población	NOUN	48	nmod
54	.	PUNCT	4	punct