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:
"Austria no ha hecho nada grave", afirmó Stoiber, para quien aislar a la república alpina es atentar contra los derechos de los electores que votaron por el partido de Haider.
Postion	Tokenization
1	"
2	Austria
3	no
4	ha
5	hecho
6	nada
7	grave
8	"
9	,
10	afirmó
11	Stoiber
12	,
13	para
14	quien
15	aislar
16	a
17	la
18	república
19	alpina
20	es
21	atentar
22	contra
23	los
24	derechos
25	de
26	los
27	electores
28	que
29	votaron
30	por
31	el
32	partido
33	de
34	Haider
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Austria	PROPN	5	nsubj
3	no	ADV	5	advmod
4	ha	AUX	5	aux
5	hecho	VERB	10	ccomp
6	nada	PRON	5	obj
7	grave	ADJ	6	amod
8	"	PUNCT	5	punct
9	,	PUNCT	5	punct
10	afirmó	VERB	0	root
11	Stoiber	PROPN	10	nsubj
12	,	PUNCT	20	punct
13	para	ADP	14	case
14	quien	PRON	20	obl
15	aislar	VERB	20	csubj
16	a	ADP	18	case
17	la	DET	18	det
18	república	NOUN	15	obj
19	alpina	ADJ	18	amod
20	es	AUX	11	acl
21	atentar	VERB	20	ccomp
22	contra	ADP	24	case
23	los	DET	24	det
24	derechos	NOUN	21	obl
25	de	ADP	27	case
26	los	DET	27	det
27	electores	NOUN	24	nmod
28	que	PRON	29	nsubj
29	votaron	VERB	27	acl
30	por	ADP	32	case
31	el	DET	32	det
32	partido	NOUN	29	obl
33	de	ADP	34	case
34	Haider	PROPN	32	nmod
35	.	PUNCT	10	punct