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:
Fue contra el holandés Richard Krajicek, y ese momento de enajenación parece que le inspiró pues luego ganó el encuentro.
Postion	Tokenization
1	Fue
2	contra
3	el
4	holandés
5	Richard
6	Krajicek
7	,
8	y
9	ese
10	momento
11	de
12	enajenación
13	parece
14	que
15	le
16	inspiró
17	pues
18	luego
19	ganó
20	el
21	encuentro
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Fue	VERB	0	root
2	contra	ADP	4	case
3	el	DET	4	det
4	holandés	NOUN	1	obl
5	Richard	PROPN	4	appos
6	Krajicek	PROPN	5	flat
7	,	PUNCT	13	punct
8	y	CCONJ	13	cc
9	ese	DET	10	det
10	momento	NOUN	13	nsubj
11	de	ADP	12	case
12	enajenación	NOUN	10	nmod
13	parece	VERB	1	conj
14	que	SCONJ	16	mark
15	le	PRON	16	obj
16	inspiró	VERB	13	csubj
17	pues	SCONJ	19	mark
18	luego	ADV	19	advmod
19	ganó	VERB	13	advcl
20	el	DET	21	det
21	encuentro	NOUN	19	obj
22	.	PUNCT	1	punct