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:
Su admisión volvió a generar preguntas sobre el pasado del político, quien ha evitado decir con claridad si consumió en el pasado drogas, aunque sí asegura que no lo ha hecho en los últimos 25 años.
Postion	Tokenization
1	Su
2	admisión
3	volvió
4	a
5	generar
6	preguntas
7	sobre
8	el
9	pasado
10	del
11	político
12	,
13	quien
14	ha
15	evitado
16	decir
17	con
18	claridad
19	si
20	consumió
21	en
22	el
23	pasado
24	drogas
25	,
26	aunque
27	sí
28	asegura
29	que
30	no
31	lo
32	ha
33	hecho
34	en
35	los
36	últimos
37	25
38	años
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Su	DET	2	det
2	admisión	NOUN	3	nsubj
3	volvió	VERB	0	root
4	a	ADP	5	mark
5	generar	VERB	3	xcomp
6	preguntas	NOUN	3	obj
7	sobre	ADP	9	case
8	el	DET	9	det
9	pasado	NOUN	6	nmod
10	del	ADP	11	case
11	político	NOUN	9	nmod
12	,	PUNCT	15	punct
13	quien	PRON	15	nsubj
14	ha	AUX	15	aux
15	evitado	VERB	11	acl
16	decir	VERB	15	xcomp
17	con	ADP	18	case
18	claridad	NOUN	16	obl
19	si	SCONJ	20	mark
20	consumió	VERB	16	ccomp
21	en	ADP	23	case
22	el	DET	23	det
23	pasado	NOUN	20	obl
24	drogas	NOUN	20	obj
25	,	PUNCT	28	punct
26	aunque	SCONJ	28	mark
27	sí	INTJ	28	advcl
28	asegura	VERB	15	advcl
29	que	SCONJ	33	mark
30	no	ADV	33	advmod
31	lo	PRON	33	obj
32	ha	AUX	33	aux
33	hecho	VERB	28	ccomp
34	en	ADP	38	case
35	los	DET	37	det
36	últimos	ADJ	37	amod
37	25	NUM	38	nummod
38	años	NOUN	33	obl
39	.	PUNCT	3	punct