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:
Mientras tanto, en la categoría Superwelter, el venezolano Elio "chingo" Ortíz superó con facilidad al neogranadino Humberto Herrera por fuera de combate técnico a los dos minutos y 32 segundos del asalto inicial.
Postion	Tokenization
1	Mientras
2	tanto
3	,
4	en
5	la
6	categoría
7	Superwelter
8	,
9	el
10	venezolano
11	Elio
12	"
13	chingo
14	"
15	Ortíz
16	superó
17	con
18	facilidad
19	al
20	neogranadino
21	Humberto
22	Herrera
23	por
24	fuera
25	de
26	combate
27	técnico
28	a
29	los
30	dos
31	minutos
32	y
33	32
34	segundos
35	del
36	asalto
37	inicial
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	CCONJ	16	advmod
2	tanto	NOUN	1	fixed
3	,	PUNCT	6	punct
4	en	ADP	6	case
5	la	DET	6	det
6	categoría	NOUN	16	obl
7	Superwelter	PROPN	6	appos
8	,	PUNCT	6	punct
9	el	DET	10	det
10	venezolano	NOUN	16	nsubj
11	Elio	PROPN	10	appos
12	"	PUNCT	11	punct
13	chingo	PROPN	11	flat
14	"	PUNCT	11	punct
15	Ortíz	PROPN	11	flat
16	superó	VERB	0	root
17	con	ADP	18	case
18	facilidad	NOUN	16	obl
19	al	ADP	20	case
20	neogranadino	NOUN	16	obj
21	Humberto	PROPN	20	appos
22	Herrera	PROPN	21	flat
23	por	ADP	24	case
24	fuera	NOUN	16	obl
25	de	ADP	26	case
26	combate	NOUN	24	compound
27	técnico	ADJ	24	amod
28	a	ADP	31	case
29	los	DET	31	det
30	dos	NUM	29	nummod
31	minutos	NOUN	16	obl
32	y	CCONJ	34	cc
33	32	NUM	34	nummod
34	segundos	NOUN	31	conj
35	del	ADP	36	case
36	asalto	NOUN	31	nmod
37	inicial	ADJ	36	amod
38	.	PUNCT	16	punct