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:
Esta ha sido la primera prueba en la que participó Schmitt, después de ganar el campeonato del Mundo disputado en Seul el pasado año.
Postion	Tokenization
1	Esta
2	ha
3	sido
4	la
5	primera
6	prueba
7	en
8	la
9	que
10	participó
11	Schmitt
12	,
13	después
14	de
15	ganar
16	el
17	campeonato
18	del
19	Mundo
20	disputado
21	en
22	Seul
23	el
24	pasado
25	año
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Esta	PRON	6	nsubj
2	ha	AUX	6	aux
3	sido	AUX	6	cop
4	la	DET	6	det
5	primera	ADJ	6	amod
6	prueba	NOUN	0	root
7	en	ADP	9	case
8	la	DET	9	det
9	que	PRON	10	obj
10	participó	VERB	6	acl
11	Schmitt	PROPN	10	nsubj
12	,	PUNCT	13	punct
13	después	ADV	10	advmod
14	de	ADP	15	mark
15	ganar	VERB	13	advcl
16	el	DET	17	det
17	campeonato	NOUN	15	obj
18	del	ADP	19	case
19	Mundo	PROPN	17	nmod
20	disputado	ADJ	17	amod
21	en	ADP	22	case
22	Seul	PROPN	20	obl
23	el	DET	25	det
24	pasado	ADJ	25	amod
25	año	NOUN	20	obl
26	.	PUNCT	6	punct