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:
Con una enorme fiesta organizada por su Partido Liberal (FPOE) en las pistas de esquí de Gerlitze, en el estado federado de Carintia que preside, el polémico y radical de derechas Joerg Haider celebró hoy su 50 cumpleaños rodeado de seguidores llegados de toda Austria.
Postion	Tokenization
1	Con
2	una
3	enorme
4	fiesta
5	organizada
6	por
7	su
8	Partido
9	Liberal
10	(
11	FPOE
12	)
13	en
14	las
15	pistas
16	de
17	esquí
18	de
19	Gerlitze
20	,
21	en
22	el
23	estado
24	federado
25	de
26	Carintia
27	que
28	preside
29	,
30	el
31	polémico
32	y
33	radical
34	de
35	derechas
36	Joerg
37	Haider
38	celebró
39	hoy
40	su
41	50
42	cumpleaños
43	rodeado
44	de
45	seguidores
46	llegados
47	de
48	toda
49	Austria
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	4	case
2	una	DET	4	det
3	enorme	ADJ	4	amod
4	fiesta	NOUN	38	obl
5	organizada	ADJ	4	amod
6	por	ADP	8	case
7	su	DET	8	det
8	Partido	PROPN	5	obj
9	Liberal	PROPN	8	flat
10	(	PUNCT	11	punct
11	FPOE	PROPN	8	flat
12	)	PUNCT	11	punct
13	en	ADP	15	case
14	las	DET	15	det
15	pistas	NOUN	5	obl
16	de	ADP	17	case
17	esquí	NOUN	15	nmod
18	de	ADP	19	case
19	Gerlitze	PROPN	15	nmod
20	,	PUNCT	23	punct
21	en	ADP	23	case
22	el	DET	23	det
23	estado	NOUN	15	nmod
24	federado	ADJ	23	amod
25	de	ADP	26	case
26	Carintia	PROPN	23	nmod
27	que	PRON	28	obj
28	preside	VERB	23	acl
29	,	PUNCT	28	punct
30	el	DET	36	det
31	polémico	ADJ	36	amod
32	y	CCONJ	33	cc
33	radical	ADJ	31	conj
34	de	ADP	35	case
35	derechas	NOUN	31	nmod
36	Joerg	PROPN	38	nsubj
37	Haider	PROPN	36	flat
38	celebró	VERB	0	root
39	hoy	ADV	38	advmod
40	su	PRON	41	nmod
41	50	NUM	42	nummod
42	cumpleaños	NOUN	38	obj
43	rodeado	ADJ	38	obj
44	de	ADP	45	case
45	seguidores	NOUN	43	obj
46	llegados	ADJ	45	amod
47	de	ADP	49	case
48	toda	DET	49	det
49	Austria	PROPN	46	obl
50	.	PUNCT	38	punct