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:
Por su parte, otro venezolano, Antonio Cemeño, retuvo su corona interina Supergallo de la AMB, al vencer por fuera de combate técnico al colombiano Arcelio Díaz, a los 44 segundos del cuarto asalto.
Postion	Tokenization
1	Por
2	su
3	parte
4	,
5	otro
6	venezolano
7	,
8	Antonio
9	Cemeño
10	,
11	retuvo
12	su
13	corona
14	interina
15	Supergallo
16	de
17	la
18	AMB
19	,
20	al
21	vencer
22	por
23	fuera
24	de
25	combate
26	técnico
27	al
28	colombiano
29	Arcelio
30	Díaz
31	,
32	a
33	los
34	44
35	segundos
36	del
37	cuarto
38	asalto
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	su	DET	3	det
3	parte	NOUN	11	obl
4	,	PUNCT	3	punct
5	otro	DET	6	det
6	venezolano	NOUN	11	nsubj
7	,	PUNCT	8	punct
8	Antonio	PROPN	6	appos
9	Cemeño	PROPN	8	flat
10	,	PUNCT	8	punct
11	retuvo	VERB	0	root
12	su	DET	13	det
13	corona	NOUN	11	obj
14	interina	ADJ	13	amod
15	Supergallo	PROPN	13	appos
16	de	ADP	18	case
17	la	DET	18	det
18	AMB	PROPN	13	nmod
19	,	PUNCT	21	punct
20	al	ADP	21	mark
21	vencer	VERB	11	advcl
22	por	ADP	23	case
23	fuera	NOUN	21	obl
24	de	ADP	25	case
25	combate	NOUN	23	compound
26	técnico	ADJ	23	amod
27	al	ADP	28	case
28	colombiano	NOUN	21	obj
29	Arcelio	PROPN	28	appos
30	Díaz	PROPN	29	flat
31	,	PUNCT	35	punct
32	a	ADP	35	case
33	los	DET	34	det
34	44	NUM	35	nummod
35	segundos	NOUN	21	obl
36	del	ADP	38	case
37	cuarto	ADJ	38	amod
38	asalto	NOUN	35	nmod
39	.	PUNCT	11	punct