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:
Pilny, que es también tesorero de la Asociación de Atletismo Europeo, dice que Zatopek ha sido hasta ahora una verdadera leyenda del deporte conocida en todo el mundo.
Postion	Tokenization
1	Pilny
2	,
3	que
4	es
5	también
6	tesorero
7	de
8	la
9	Asociación
10	de
11	Atletismo
12	Europeo
13	,
14	dice
15	que
16	Zatopek
17	ha
18	sido
19	hasta
20	ahora
21	una
22	verdadera
23	leyenda
24	del
25	deporte
26	conocida
27	en
28	todo
29	el
30	mundo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Pilny	PROPN	14	nsubj
2	,	PUNCT	6	punct
3	que	PRON	6	nsubj
4	es	AUX	6	cop
5	también	ADV	6	advmod
6	tesorero	NOUN	1	acl
7	de	ADP	9	case
8	la	DET	9	det
9	Asociación	PROPN	6	nmod
10	de	ADP	11	case
11	Atletismo	PROPN	9	flat
12	Europeo	PROPN	11	flat
13	,	PUNCT	6	punct
14	dice	VERB	0	root
15	que	SCONJ	23	mark
16	Zatopek	PROPN	23	nsubj
17	ha	AUX	23	aux
18	sido	AUX	23	cop
19	hasta	ADP	20	case
20	ahora	ADV	23	advmod
21	una	DET	23	det
22	verdadera	ADJ	23	amod
23	leyenda	NOUN	14	ccomp
24	del	ADP	25	case
25	deporte	NOUN	23	nmod
26	conocida	ADJ	23	amod
27	en	ADP	30	case
28	todo	DET	29	det
29	el	DET	30	det
30	mundo	NOUN	26	obl
31	.	PUNCT	14	punct