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 presidente del CO checo aseguró que Zatopek siempre fue un ejemplo para él y un punto de referencia obligado al tratarse de temas del atletismo.
Postion	Tokenization
1	El
2	presidente
3	del
4	CO
5	checo
6	aseguró
7	que
8	Zatopek
9	siempre
10	fue
11	un
12	ejemplo
13	para
14	él
15	y
16	un
17	punto
18	de
19	referencia
20	obligado
21	al
22	tratarse
23	tratar
24	se
25	de
26	temas
27	del
28	atletismo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	6	nsubj
3	del	ADP	4	case
4	CO	PROPN	2	nmod
5	checo	ADJ	2	amod
6	aseguró	VERB	0	root
7	que	SCONJ	12	mark
8	Zatopek	PROPN	12	nsubj
9	siempre	ADV	12	advmod
10	fue	AUX	12	cop
11	un	DET	12	det
12	ejemplo	NOUN	6	ccomp
13	para	ADP	14	case
14	él	PRON	12	nmod
15	y	CCONJ	17	cc
16	un	DET	17	det
17	punto	NOUN	12	conj
18	de	ADP	19	case
19	referencia	NOUN	17	nmod
20	obligado	ADJ	17	amod
21	al	ADP	22	mark
22	tratarse	_	None	_
23	tratar	VERB	17	acl
24	se	PRON	22	expl:impers
25	de	ADP	25	case
26	temas	NOUN	22	obj
27	del	ADP	27	case
28	atletismo	NOUN	25	nmod
29	.	PUNCT	6	punct