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:
Pocas semanas antes de ese combate, Cermeño estuvo involucrado en una riña en una discoteca que lo mantuvo bajo custodia policial, y Adams tuvo que exponer su título ante Andrés Fernández, que mantuvo en su poder.
Postion	Tokenization
1	Pocas
2	semanas
3	antes
4	de
5	ese
6	combate
7	,
8	Cermeño
9	estuvo
10	involucrado
11	en
12	una
13	riña
14	en
15	una
16	discoteca
17	que
18	lo
19	mantuvo
20	bajo
21	custodia
22	policial
23	,
24	y
25	Adams
26	tuvo
27	que
28	exponer
29	su
30	título
31	ante
32	Andrés
33	Fernández
34	,
35	que
36	mantuvo
37	en
38	su
39	poder
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Pocas	DET	2	det
2	semanas	NOUN	3	obl
3	antes	ADV	10	advmod
4	de	ADP	6	case
5	ese	DET	6	det
6	combate	NOUN	3	obl
7	,	PUNCT	3	punct
8	Cermeño	PROPN	10	nsubj
9	estuvo	AUX	10	cop
10	involucrado	ADJ	0	root
11	en	ADP	13	case
12	una	DET	13	det
13	riña	NOUN	10	obj
14	en	ADP	16	case
15	una	DET	16	det
16	discoteca	NOUN	13	nmod
17	que	PRON	19	nsubj
18	lo	PRON	19	obj
19	mantuvo	VERB	13	acl
20	bajo	ADP	21	case
21	custodia	NOUN	19	obl
22	policial	ADJ	21	amod
23	,	PUNCT	26	punct
24	y	CCONJ	26	cc
25	Adams	PROPN	28	nsubj
26	tuvo	VERB	10	conj
27	que	SCONJ	28	cc
28	exponer	VERB	26	conj
29	su	DET	30	det
30	título	NOUN	28	obj
31	ante	ADP	32	case
32	Andrés	PROPN	28	obl
33	Fernández	PROPN	32	flat
34	,	PUNCT	36	punct
35	que	PRON	36	obj
36	mantuvo	VERB	28	advcl
37	en	ADP	39	case
38	su	DET	39	det
39	poder	NOUN	36	obl
40	.	PUNCT	10	punct