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:
La Federación parece que cree ahora en la versión de Baumann y su fallo le faculta para tomar la salida el domingo, en un mitin del que espera conseguir la calificación para los Juegos de Sydney.
Postion	Tokenization
1	La
2	Federación
3	parece
4	que
5	cree
6	ahora
7	en
8	la
9	versión
10	de
11	Baumann
12	y
13	su
14	fallo
15	le
16	faculta
17	para
18	tomar
19	la
20	salida
21	el
22	domingo
23	,
24	en
25	un
26	mitin
27	del
28	que
29	espera
30	conseguir
31	la
32	calificación
33	para
34	los
35	Juegos
36	de
37	Sydney
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Federación	PROPN	3	nsubj
3	parece	VERB	0	root
4	que	SCONJ	5	mark
5	cree	VERB	3	ccomp
6	ahora	ADV	5	advmod
7	en	ADP	9	case
8	la	DET	9	det
9	versión	NOUN	5	obj
10	de	ADP	11	case
11	Baumann	PROPN	9	nmod
12	y	CCONJ	16	cc
13	su	DET	14	det
14	fallo	NOUN	16	nsubj
15	le	PRON	16	obj
16	faculta	VERB	3	conj
17	para	ADP	18	mark
18	tomar	VERB	16	advcl
19	la	DET	20	det
20	salida	NOUN	18	obj
21	el	DET	22	det
22	domingo	NOUN	18	obl
23	,	PUNCT	26	punct
24	en	ADP	26	case
25	un	DET	26	det
26	mitin	NOUN	18	obl
27	del	ADP	28	case
28	que	PRON	29	obl
29	espera	VERB	26	acl
30	conseguir	VERB	29	xcomp
31	la	DET	32	det
32	calificación	NOUN	30	obj
33	para	ADP	35	case
34	los	DET	35	det
35	Juegos	PROPN	32	nmod
36	de	ADP	37	case
37	Sydney	PROPN	35	flat
38	.	PUNCT	3	punct