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 dijo que se había salido de la autopista M-62, en la que había aguanieve, y se había caído por un puente con los dos vehículos, que habían ido a parar a las vías del tren.
Postion	Tokenization
1	Este
2	dijo
3	que
4	se
5	había
6	salido
7	de
8	la
9	autopista
10	M-62
11	,
12	en
13	la
14	que
15	había
16	aguanieve
17	,
18	y
19	se
20	había
21	caído
22	por
23	un
24	puente
25	con
26	los
27	dos
28	vehículos
29	,
30	que
31	habían
32	ido
33	a
34	parar
35	a
36	las
37	vías
38	del
39	tren
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	PRON	2	nsubj
2	dijo	VERB	0	root
3	que	SCONJ	6	mark
4	se	PRON	6	expl:pv
5	había	AUX	6	aux
6	salido	VERB	2	ccomp
7	de	ADP	9	case
8	la	DET	9	det
9	autopista	PROPN	6	obl
10	M-62	PROPN	9	flat
11	,	PUNCT	15	punct
12	en	ADP	14	case
13	la	DET	14	det
14	que	PRON	15	obl
15	había	AUX	9	acl
16	aguanieve	NOUN	15	obj
17	,	PUNCT	15	punct
18	y	CCONJ	21	cc
19	se	PRON	21	expl:pv
20	había	AUX	21	aux
21	caído	VERB	2	conj
22	por	ADP	24	case
23	un	DET	24	det
24	puente	NOUN	21	obl
25	con	ADP	28	case
26	los	DET	28	det
27	dos	NUM	26	nummod
28	vehículos	NOUN	21	obl
29	,	PUNCT	34	punct
30	que	PRON	34	nsubj
31	habían	AUX	34	aux
32	ido	AUX	34	aux
33	a	ADP	34	mark
34	parar	VERB	28	acl
35	a	ADP	37	case
36	las	DET	37	det
37	vías	NOUN	34	obj
38	del	ADP	39	case
39	tren	NOUN	37	nmod
40	.	PUNCT	2	punct