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:
A través de un comunicado, Trànsit apuntó que la mejora de las estadísticas hay que atribuirla en especial a que los conductores han asumido la necesidad de adoptar una actitud más prudente al volante.
Postion	Tokenization
1	A
2	través
3	de
4	un
5	comunicado
6	,
7	Trànsit
8	apuntó
9	que
10	la
11	mejora
12	de
13	las
14	estadísticas
15	hay
16	que
17	atribuirla
18	atribuir
19	la
20	en
21	especial
22	a
23	que
24	los
25	conductores
26	han
27	asumido
28	la
29	necesidad
30	de
31	adoptar
32	una
33	actitud
34	más
35	prudente
36	al
37	volante
38	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	5	case
2	través	NOUN	1	fixed
3	de	ADP	1	fixed
4	un	DET	5	det
5	comunicado	NOUN	8	obl
6	,	PUNCT	5	punct
7	Trànsit	PROPN	8	nsubj
8	apuntó	VERB	0	root
9	que	SCONJ	17	mark
10	la	DET	11	det
11	mejora	NOUN	17	iobj
12	de	ADP	14	case
13	las	DET	14	det
14	estadísticas	NOUN	11	nmod
15	hay	AUX	8	ccomp
16	que	SCONJ	17	cc
17	atribuirla	_	None	_
18	atribuir	VERB	15	conj
19	la	PRON	17	obj
20	en	ADP	17	advmod
21	especial	ADJ	19	fixed
22	a	ADP	26	mark
23	que	SCONJ	26	mark
24	los	DET	24	det
25	conductores	NOUN	26	nsubj
26	han	AUX	26	aux
27	asumido	VERB	17	ccomp
28	la	DET	28	det
29	necesidad	NOUN	26	obj
30	de	ADP	30	mark
31	adoptar	VERB	28	acl
32	una	DET	32	det
33	actitud	NOUN	30	obj
34	más	ADV	34	advmod
35	prudente	ADJ	32	amod
36	al	ADP	36	case
37	volante	NOUN	32	nmod
38	.	PUNCT	8	punct