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:
Barrera, que bajó su marca a 49-3, con 36 por KO, también admitió que tuvo en varias ocasiones a Morales al borde del KO, pero no pudo finalizar su trabajo.
Postion	Tokenization
1	Barrera
2	,
3	que
4	bajó
5	su
6	marca
7	a
8	49-3
9	,
10	con
11	36
12	por
13	KO
14	,
15	también
16	admitió
17	que
18	tuvo
19	en
20	varias
21	ocasiones
22	a
23	Morales
24	al
25	borde
26	del
27	KO
28	,
29	pero
30	no
31	pudo
32	finalizar
33	su
34	trabajo
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Barrera	PROPN	16	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	bajó	VERB	1	acl
5	su	DET	6	det
6	marca	NOUN	4	obj
7	a	ADP	8	case
8	49-3	NUM	4	obj
9	,	PUNCT	11	punct
10	con	ADP	11	case
11	36	NUM	4	obl
12	por	ADP	13	case
13	KO	NOUN	11	nmod
14	,	PUNCT	11	punct
15	también	ADV	16	advmod
16	admitió	VERB	0	root
17	que	SCONJ	18	mark
18	tuvo	VERB	16	ccomp
19	en	ADP	21	case
20	varias	DET	21	det
21	ocasiones	NOUN	18	obl
22	a	ADP	23	case
23	Morales	PROPN	18	obj
24	al	ADP	25	case
25	borde	NOUN	18	obl
26	del	ADP	27	case
27	KO	NOUN	25	nmod
28	,	PUNCT	32	punct
29	pero	CCONJ	32	cc
30	no	ADV	32	advmod
31	pudo	AUX	32	aux
32	finalizar	VERB	16	conj
33	su	DET	34	det
34	trabajo	NOUN	32	obj
35	.	PUNCT	16	punct