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:
"Nunca he visto nada parecido en mi vida y espero no volverlo a ver", declaró Christopher Garnett, presidente de la firma GNER, quien no podía explicarse cómo un vehículo circulando por una autopista puede caer tan fácilmente en las vías del tren.
Postion	Tokenization
1	"
2	Nunca
3	he
4	visto
5	nada
6	parecido
7	en
8	mi
9	vida
10	y
11	espero
12	no
13	volverlo
14	volver
15	lo
16	a
17	ver
18	"
19	,
20	declaró
21	Christopher
22	Garnett
23	,
24	presidente
25	de
26	la
27	firma
28	GNER
29	,
30	quien
31	no
32	podía
33	explicarse
34	explicar
35	se
36	cómo
37	un
38	vehículo
39	circulando
40	por
41	una
42	autopista
43	puede
44	caer
45	tan
46	fácilmente
47	en
48	las
49	vías
50	del
51	tren
52	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Nunca	ADV	4	advmod
3	he	AUX	4	aux
4	visto	VERB	19	ccomp
5	nada	PRON	4	obj
6	parecido	ADJ	5	amod
7	en	ADP	9	case
8	mi	DET	9	det
9	vida	NOUN	4	obl
10	y	CCONJ	11	cc
11	espero	VERB	4	conj
12	no	ADV	13	advmod
13	volverlo	_	None	_
14	volver	VERB	11	xcomp
15	lo	PRON	13	obj
16	a	ADP	16	mark
17	ver	VERB	13	xcomp
18	"	PUNCT	4	punct
19	,	PUNCT	4	punct
20	declaró	VERB	0	root
21	Christopher	PROPN	19	nsubj
22	Garnett	PROPN	20	flat
23	,	PUNCT	23	punct
24	presidente	NOUN	20	appos
25	de	ADP	26	case
26	la	DET	26	det
27	firma	NOUN	23	nmod
28	GNER	PROPN	26	appos
29	,	PUNCT	23	punct
30	quien	PRON	32	nsubj
31	no	ADV	32	advmod
32	podía	AUX	32	aux
33	explicarse	_	None	_
34	explicar	VERB	20	acl
35	se	PRON	32	expl:pv
36	cómo	PRON	42	obl
37	un	DET	36	det
38	vehículo	NOUN	42	nsubj
39	circulando	VERB	36	acl
40	por	ADP	40	case
41	una	DET	40	det
42	autopista	NOUN	37	obl
43	puede	AUX	42	aux
44	caer	VERB	32	xcomp
45	tan	ADV	44	advmod
46	fácilmente	ADV	42	advmod
47	en	ADP	47	case
48	las	DET	47	det
49	vías	NOUN	42	obl
50	del	ADP	49	case
51	tren	NOUN	47	nmod
52	.	PUNCT	19	punct