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 boxeador polaco Przemyslaw Saleta está seguro de que dará en el cuadrilátero un castigo tan duro a Andrzej Golota que éste no podrá con Michael Tyson.
Postion	Tokenization
1	El
2	boxeador
3	polaco
4	Przemyslaw
5	Saleta
6	está
7	seguro
8	de
9	que
10	dará
11	en
12	el
13	cuadrilátero
14	un
15	castigo
16	tan
17	duro
18	a
19	Andrzej
20	Golota
21	que
22	éste
23	no
24	podrá
25	con
26	Michael
27	Tyson
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	boxeador	NOUN	7	nsubj
3	polaco	ADJ	2	amod
4	Przemyslaw	PROPN	2	appos
5	Saleta	PROPN	4	flat
6	está	AUX	7	cop
7	seguro	ADJ	0	root
8	de	ADP	10	mark
9	que	SCONJ	10	mark
10	dará	VERB	7	acl
11	en	ADP	13	case
12	el	DET	13	det
13	cuadrilátero	NOUN	10	obl
14	un	DET	15	det
15	castigo	NOUN	10	obj
16	tan	ADV	17	advmod
17	duro	ADJ	15	amod
18	a	ADP	19	case
19	Andrzej	PROPN	10	obj
20	Golota	PROPN	19	flat
21	que	SCONJ	24	mark
22	éste	PRON	24	nsubj
23	no	ADV	24	advmod
24	podrá	VERB	10	advcl
25	con	ADP	26	case
26	Michael	PROPN	24	obl
27	Tyson	PROPN	26	flat
28	.	PUNCT	7	punct