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:
Previamente, en una entrevista con el diario de Múnich "Süddeutsche Zeitung", Stoiber había precisado que apoya la ampliación, pero que antes habrá que asegurar su financiación, reformar estructuralmente la Unión Europea (UE) e informar claramente a la población de lo que se pretende.
Postion	Tokenization
1	Previamente
2	,
3	en
4	una
5	entrevista
6	con
7	el
8	diario
9	de
10	Múnich
11	"
12	Süddeutsche
13	Zeitung
14	"
15	,
16	Stoiber
17	había
18	precisado
19	que
20	apoya
21	la
22	ampliación
23	,
24	pero
25	que
26	antes
27	habrá
28	que
29	asegurar
30	su
31	financiación
32	,
33	reformar
34	estructuralmente
35	la
36	Unión
37	Europea
38	(
39	UE
40	)
41	e
42	informar
43	claramente
44	a
45	la
46	población
47	de
48	lo
49	que
50	se
51	pretende
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Previamente	ADV	18	advmod
2	,	PUNCT	5	punct
3	en	ADP	5	case
4	una	DET	5	det
5	entrevista	NOUN	18	obl
6	con	ADP	8	case
7	el	DET	8	det
8	diario	NOUN	5	nmod
9	de	ADP	10	case
10	Múnich	PROPN	8	nmod
11	"	PUNCT	12	punct
12	Süddeutsche	PROPN	8	appos
13	Zeitung	PROPN	12	flat
14	"	PUNCT	12	punct
15	,	PUNCT	5	punct
16	Stoiber	PROPN	18	nsubj
17	había	AUX	18	aux
18	precisado	VERB	0	root
19	que	SCONJ	20	mark
20	apoya	VERB	18	ccomp
21	la	DET	22	det
22	ampliación	NOUN	20	obj
23	,	PUNCT	27	punct
24	pero	CCONJ	27	cc
25	que	SCONJ	29	mark
26	antes	ADV	29	advmod
27	habrá	AUX	20	conj
28	que	SCONJ	29	cc
29	asegurar	VERB	27	conj
30	su	DET	31	det
31	financiación	NOUN	29	obj
32	,	PUNCT	33	punct
33	reformar	VERB	29	advcl
34	estructuralmente	ADV	33	advmod
35	la	DET	36	det
36	Unión	PROPN	33	obj
37	Europea	PROPN	36	flat
38	(	PUNCT	39	punct
39	UE	PROPN	36	flat
40	)	PUNCT	39	punct
41	e	CCONJ	42	cc
42	informar	VERB	27	conj
43	claramente	ADV	42	advmod
44	a	ADP	46	case
45	la	DET	46	det
46	población	NOUN	42	iobj
47	de	ADP	51	mark
48	lo	PRON	51	det
49	que	PRON	51	obj
50	se	PRON	51	expl:pass
51	pretende	VERB	42	ccomp
52	.	PUNCT	18	punct