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:
El púgil polaco se siente muy humillado con la decisión de su famoso compatriota, porque, según declaró, significa que Golota le "desprecia y subestima".
Postion	Tokenization
1	El
2	púgil
3	polaco
4	se
5	siente
6	muy
7	humillado
8	con
9	la
10	decisión
11	de
12	su
13	famoso
14	compatriota
15	,
16	porque
17	,
18	según
19	declaró
20	,
21	significa
22	que
23	Golota
24	le
25	"
26	desprecia
27	y
28	subestima
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	púgil	NOUN	5	nsubj
3	polaco	ADJ	2	amod
4	se	PRON	5	expl:pv
5	siente	VERB	0	root
6	muy	ADV	7	advmod
7	humillado	ADJ	5	obj
8	con	ADP	10	case
9	la	DET	10	det
10	decisión	NOUN	7	obl
11	de	ADP	14	case
12	su	DET	14	det
13	famoso	ADJ	14	amod
14	compatriota	NOUN	10	nmod
15	,	PUNCT	21	punct
16	porque	SCONJ	21	mark
17	,	PUNCT	19	punct
18	según	SCONJ	19	mark
19	declaró	VERB	21	advcl
20	,	PUNCT	19	punct
21	significa	VERB	5	advcl
22	que	SCONJ	26	mark
23	Golota	PROPN	26	nsubj
24	le	PRON	26	obj
25	"	PUNCT	26	punct
26	desprecia	VERB	21	ccomp
27	y	CCONJ	28	cc
28	subestima	VERB	26	conj
29	"	PUNCT	26	punct
30	.	PUNCT	5	punct