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:
Fischer hacía así alusión al hecho de que el político bávaro animó a los conservadores del país vecino a abandonar sus reticencias contra el partido liberal austriaco (FPOE) del ultraderechista Joerg Haider.
Postion	Tokenization
1	Fischer
2	hacía
3	así
4	alusión
5	al
6	hecho
7	de
8	que
9	el
10	político
11	bávaro
12	animó
13	a
14	los
15	conservadores
16	del
17	país
18	vecino
19	a
20	abandonar
21	sus
22	reticencias
23	contra
24	el
25	partido
26	liberal
27	austriaco
28	(
29	FPOE
30	)
31	del
32	ultraderechista
33	Joerg
34	Haider
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Fischer	PROPN	2	nsubj
2	hacía	VERB	0	root
3	así	ADV	2	advmod
4	alusión	NOUN	2	obj
5	al	ADP	6	case
6	hecho	NOUN	4	nmod
7	de	ADP	12	mark
8	que	SCONJ	12	mark
9	el	DET	10	det
10	político	NOUN	12	nsubj
11	bávaro	ADJ	10	amod
12	animó	VERB	6	acl
13	a	ADP	15	case
14	los	DET	15	det
15	conservadores	NOUN	12	obj
16	del	ADP	17	case
17	país	NOUN	15	nmod
18	vecino	ADJ	17	amod
19	a	ADP	20	mark
20	abandonar	VERB	12	advcl
21	sus	DET	22	det
22	reticencias	NOUN	20	obj
23	contra	ADP	25	case
24	el	DET	25	det
25	partido	NOUN	22	nmod
26	liberal	ADJ	25	amod
27	austriaco	ADJ	25	amod
28	(	PUNCT	29	punct
29	FPOE	PROPN	25	appos
30	)	PUNCT	29	punct
31	del	ADP	33	case
32	ultraderechista	ADJ	33	amod
33	Joerg	PROPN	25	nmod
34	Haider	PROPN	33	flat
35	.	PUNCT	2	punct