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:
"Es la segunda vez que Peña reincide en su conducta antideportiva frente a Moya, ya que en el primer combate entre ambos, disputado en Mayo, Peña también le pegó fuera de tiempo", aseguró García Montoya.
Postion	Tokenization
1	"
2	Es
3	la
4	segunda
5	vez
6	que
7	Peña
8	reincide
9	en
10	su
11	conducta
12	antideportiva
13	frente
14	a
15	Moya
16	,
17	ya
18	que
19	en
20	el
21	primer
22	combate
23	entre
24	ambos
25	,
26	disputado
27	en
28	Mayo
29	,
30	Peña
31	también
32	le
33	pegó
34	fuera
35	de
36	tiempo
37	"
38	,
39	aseguró
40	García
41	Montoya
42	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Es	AUX	5	cop
3	la	DET	5	det
4	segunda	ADJ	5	amod
5	vez	NOUN	39	ccomp
6	que	PRON	8	obl
7	Peña	PROPN	8	nsubj
8	reincide	VERB	5	acl
9	en	ADP	11	case
10	su	DET	11	det
11	conducta	NOUN	8	obj
12	antideportiva	ADJ	11	amod
13	frente	NOUN	15	case
14	a	ADP	13	fixed
15	Moya	PROPN	8	obl
16	,	PUNCT	33	punct
17	ya	ADV	33	mark
18	que	SCONJ	17	fixed
19	en	ADP	22	case
20	el	DET	22	det
21	primer	ADJ	22	amod
22	combate	NOUN	33	obl
23	entre	ADP	24	case
24	ambos	NUM	22	nummod
25	,	PUNCT	26	punct
26	disputado	ADJ	22	amod
27	en	ADP	28	case
28	Mayo	NOUN	26	obl
29	,	PUNCT	26	punct
30	Peña	PROPN	33	nsubj
31	también	ADV	33	advmod
32	le	PRON	33	obj
33	pegó	VERB	5	advcl
34	fuera	ADV	33	advmod
35	de	ADP	36	case
36	tiempo	NOUN	34	obl
37	"	PUNCT	5	punct
38	,	PUNCT	5	punct
39	aseguró	VERB	0	root
40	García	PROPN	39	nsubj
41	Montoya	PROPN	40	flat
42	.	PUNCT	39	punct