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 Unión Europea encara la peor y más delicada crisis desde su nacimiento con la posible llegada al poder del ultraderechista Haider en Austria.
Postion	Tokenization
1	La
2	Unión
3	Europea
4	encara
5	la
6	peor
7	y
8	más
9	delicada
10	crisis
11	desde
12	su
13	nacimiento
14	con
15	la
16	posible
17	llegada
18	al
19	poder
20	del
21	ultraderechista
22	Haider
23	en
24	Austria
25	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Unión	PROPN	4	nsubj
3	Europea	PROPN	2	flat
4	encara	VERB	0	root
5	la	DET	10	det
6	peor	ADJ	10	amod
7	y	CCONJ	9	cc
8	más	ADV	9	advmod
9	delicada	ADJ	6	conj
10	crisis	NOUN	4	obj
11	desde	ADP	13	case
12	su	DET	13	det
13	nacimiento	NOUN	4	obl
14	con	ADP	17	case
15	la	DET	17	det
16	posible	ADJ	17	amod
17	llegada	NOUN	4	obl
18	al	ADP	19	case
19	poder	NOUN	17	nmod
20	del	ADP	22	case
21	ultraderechista	ADJ	22	amod
22	Haider	PROPN	17	nmod
23	en	ADP	24	case
24	Austria	PROPN	17	nmod
25	.	PUNCT	4	punct