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:
Pero cuando se empezaban los trámites, Bernardo Segura ya había comenzado su regreso a México, en donde fue localizado para que Vázquez Raña le preguntara si aceptaba el trámite y sobre la decisión de los jueces.
Postion	Tokenization
1	Pero
2	cuando
3	se
4	empezaban
5	los
6	trámites
7	,
8	Bernardo
9	Segura
10	ya
11	había
12	comenzado
13	su
14	regreso
15	a
16	México
17	,
18	en
19	donde
20	fue
21	localizado
22	para
23	que
24	Vázquez
25	Raña
26	le
27	preguntara
28	si
29	aceptaba
30	el
31	trámite
32	y
33	sobre
34	la
35	decisión
36	de
37	los
38	jueces
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	4	advmod
2	cuando	SCONJ	4	mark
3	se	PRON	4	expl:pv
4	empezaban	VERB	12	advcl
5	los	DET	6	det
6	trámites	NOUN	4	nsubj
7	,	PUNCT	4	punct
8	Bernardo	PROPN	12	nsubj
9	Segura	PROPN	8	flat
10	ya	ADV	12	advmod
11	había	AUX	12	aux
12	comenzado	VERB	0	root
13	su	DET	14	det
14	regreso	NOUN	12	obj
15	a	ADP	16	case
16	México	PROPN	14	nmod
17	,	PUNCT	21	punct
18	en	ADP	19	case
19	donde	PRON	21	obl
20	fue	AUX	21	aux
21	localizado	VERB	16	acl
22	para	ADP	27	mark
23	que	SCONJ	27	mark
24	Vázquez	PROPN	27	nsubj
25	Raña	PROPN	24	flat
26	le	PRON	27	iobj
27	preguntara	VERB	21	advcl
28	si	SCONJ	29	mark
29	aceptaba	VERB	27	ccomp
30	el	DET	31	det
31	trámite	NOUN	29	obj
32	y	CCONJ	35	cc
33	sobre	ADP	35	case
34	la	DET	35	det
35	decisión	NOUN	29	conj
36	de	ADP	38	case
37	los	DET	38	det
38	jueces	NOUN	35	nmod
39	.	PUNCT	12	punct