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:
"Quien boicotea a Austria golpea el corazón de Europa", concluyó Stoiber, que además condenó que la "gran Europa se alíe contra la pequeña Austria".
Postion	Tokenization
1	"
2	Quien
3	boicotea
4	a
5	Austria
6	golpea
7	el
8	corazón
9	de
10	Europa
11	"
12	,
13	concluyó
14	Stoiber
15	,
16	que
17	además
18	condenó
19	que
20	la
21	"
22	gran
23	Europa
24	se
25	alíe
26	contra
27	la
28	pequeña
29	Austria
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Quien	PRON	3	nsubj
3	boicotea	VERB	6	csubj
4	a	ADP	5	case
5	Austria	PROPN	3	obj
6	golpea	VERB	13	ccomp
7	el	DET	8	det
8	corazón	NOUN	6	obj
9	de	ADP	10	case
10	Europa	PROPN	8	nmod
11	"	PUNCT	6	punct
12	,	PUNCT	6	punct
13	concluyó	VERB	0	root
14	Stoiber	PROPN	13	nsubj
15	,	PUNCT	18	punct
16	que	PRON	18	nsubj
17	además	ADV	18	advmod
18	condenó	VERB	14	acl
19	que	SCONJ	25	mark
20	la	DET	23	det
21	"	PUNCT	23	punct
22	gran	ADJ	23	amod
23	Europa	PROPN	25	nsubj
24	se	PRON	25	expl:pv
25	alíe	VERB	18	ccomp
26	contra	ADP	29	case
27	la	DET	29	det
28	pequeña	ADJ	29	amod
29	Austria	PROPN	25	obj
30	"	PUNCT	25	punct
31	.	PUNCT	13	punct