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:
Como candidato, el doctor Trias reconoce que no se ajusta al arquetipo del cabeza de lista y afirma, ante las presiones de su propio partido, que hay algunas cosas que no hará, como por ejemplo, dejar de decir lo que piensa aunque le cueste disgustos, como cuando criticó por "insolidario" el concierto económico vasco.
Postion	Tokenization
1	Como
2	candidato
3	,
4	el
5	doctor
6	Trias
7	reconoce
8	que
9	no
10	se
11	ajusta
12	al
13	arquetipo
14	del
15	cabeza
16	de
17	lista
18	y
19	afirma
20	,
21	ante
22	las
23	presiones
24	de
25	su
26	propio
27	partido
28	,
29	que
30	hay
31	algunas
32	cosas
33	que
34	no
35	hará
36	,
37	como
38	por
39	ejemplo
40	,
41	dejar
42	de
43	decir
44	lo
45	que
46	piensa
47	aunque
48	le
49	cueste
50	disgustos
51	,
52	como
53	cuando
54	criticó
55	por
56	"
57	insolidario
58	"
59	el
60	concierto
61	económico
62	vasco
63	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	2	mark
2	candidato	NOUN	7	obl
3	,	PUNCT	2	punct
4	el	DET	5	det
5	doctor	NOUN	7	nsubj
6	Trias	PROPN	5	appos
7	reconoce	VERB	0	root
8	que	SCONJ	11	mark
9	no	ADV	11	advmod
10	se	PRON	11	expl:pv
11	ajusta	VERB	7	ccomp
12	al	ADP	13	case
13	arquetipo	NOUN	11	obj
14	del	ADP	15	case
15	cabeza	NOUN	13	nmod
16	de	ADP	17	case
17	lista	NOUN	15	nmod
18	y	CCONJ	19	cc
19	afirma	VERB	7	conj
20	,	PUNCT	23	punct
21	ante	ADP	23	case
22	las	DET	23	det
23	presiones	NOUN	19	obl
24	de	ADP	27	case
25	su	DET	27	det
26	propio	DET	25	det
27	partido	NOUN	23	nmod
28	,	PUNCT	23	punct
29	que	SCONJ	30	mark
30	hay	AUX	19	ccomp
31	algunas	DET	32	det
32	cosas	NOUN	30	obj
33	que	PRON	35	obj
34	no	ADV	35	advmod
35	hará	VERB	32	acl
36	,	PUNCT	41	punct
37	como	SCONJ	41	mark
38	por	ADP	41	advmod
39	ejemplo	NOUN	38	fixed
40	,	PUNCT	38	punct
41	dejar	VERB	32	appos
42	de	ADP	43	mark
43	decir	VERB	41	xcomp
44	lo	PRON	43	obj
45	que	PRON	46	obj
46	piensa	VERB	44	acl
47	aunque	SCONJ	49	mark
48	le	PRON	49	iobj
49	cueste	VERB	32	advcl
50	disgustos	NOUN	49	iobj
51	,	PUNCT	54	punct
52	como	SCONJ	54	mark
53	cuando	SCONJ	54	mark
54	criticó	VERB	49	advcl
55	por	ADP	57	case
56	"	PUNCT	57	punct
57	insolidario	ADJ	54	advmod
58	"	PUNCT	57	punct
59	el	DET	60	det
60	concierto	NOUN	54	obj
61	económico	ADJ	60	amod
62	vasco	ADJ	60	amod
63	.	PUNCT	7	punct