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:
Grasser es miembro del ultranacionalista Partido Liberal austriaco (FPOe) que lidera Joerg Haider y cuya entrada en el gobierno austríaco motivó la aplicación de las sanciones entre Febrero y el mes pasado.
Postion	Tokenization
1	Grasser
2	es
3	miembro
4	del
5	ultranacionalista
6	Partido
7	Liberal
8	austriaco
9	(
10	FPOe
11	)
12	que
13	lidera
14	Joerg
15	Haider
16	y
17	cuya
18	entrada
19	en
20	el
21	gobierno
22	austríaco
23	motivó
24	la
25	aplicación
26	de
27	las
28	sanciones
29	entre
30	Febrero
31	y
32	el
33	mes
34	pasado
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Grasser	PROPN	3	nsubj
2	es	AUX	3	cop
3	miembro	NOUN	0	root
4	del	ADP	6	case
5	ultranacionalista	ADJ	6	amod
6	Partido	PROPN	3	nmod
7	Liberal	PROPN	6	flat
8	austriaco	ADJ	6	amod
9	(	PUNCT	10	punct
10	FPOe	PROPN	6	flat
11	)	PUNCT	10	punct
12	que	PRON	13	obj
13	lidera	VERB	6	acl
14	Joerg	PROPN	13	nsubj
15	Haider	PROPN	14	flat
16	y	CCONJ	23	cc
17	cuya	PRON	18	nmod
18	entrada	NOUN	23	nsubj
19	en	ADP	21	case
20	el	DET	21	det
21	gobierno	NOUN	18	nmod
22	austríaco	ADJ	21	amod
23	motivó	VERB	13	conj
24	la	DET	25	det
25	aplicación	NOUN	23	obj
26	de	ADP	28	case
27	las	DET	28	det
28	sanciones	NOUN	25	nmod
29	entre	ADP	30	case
30	Febrero	NOUN	23	obl
31	y	CCONJ	33	cc
32	el	DET	33	det
33	mes	NOUN	30	conj
34	pasado	ADJ	33	amod
35	.	PUNCT	3	punct