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:
Morales, que mejoró su invicto a 36 peleas con 28 KO, reiteró que no continuará en la categoría de los supergallos porque tiene muchos problemas para mantener el peso y subirá los plumas.
Postion	Tokenization
1	Morales
2	,
3	que
4	mejoró
5	su
6	invicto
7	a
8	36
9	peleas
10	con
11	28
12	KO
13	,
14	reiteró
15	que
16	no
17	continuará
18	en
19	la
20	categoría
21	de
22	los
23	supergallos
24	porque
25	tiene
26	muchos
27	problemas
28	para
29	mantener
30	el
31	peso
32	y
33	subirá
34	los
35	plumas
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Morales	PROPN	14	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	mejoró	VERB	1	acl
5	su	DET	6	det
6	invicto	NOUN	4	obj
7	a	ADP	9	case
8	36	NUM	9	nummod
9	peleas	NOUN	4	obl
10	con	ADP	12	case
11	28	NUM	12	nummod
12	KO	NOUN	4	obl
13	,	PUNCT	4	punct
14	reiteró	VERB	0	root
15	que	SCONJ	17	mark
16	no	ADV	17	advmod
17	continuará	VERB	14	ccomp
18	en	ADP	20	case
19	la	DET	20	det
20	categoría	NOUN	17	obl
21	de	ADP	23	case
22	los	DET	23	det
23	supergallos	NOUN	20	nmod
24	porque	SCONJ	25	mark
25	tiene	VERB	17	advcl
26	muchos	DET	27	det
27	problemas	NOUN	25	obj
28	para	ADP	29	mark
29	mantener	VERB	25	advcl
30	el	DET	31	det
31	peso	NOUN	29	obj
32	y	CCONJ	33	cc
33	subirá	VERB	25	conj
34	los	DET	35	det
35	plumas	NOUN	33	obl
36	.	PUNCT	14	punct