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:
Bude-li Vera mluvit, zapotí se hlavně jeho nadřízení: ministr vnitra a spolu s ním i v poslední době často kritizovaný premiér Felipe González.
Postion	Tokenization
1	Bude
2	-
3	li
4	Vera
5	mluvit
6	,
7	zapotí
8	se
9	hlavně
10	jeho
11	nadřízení
12	:
13	ministr
14	vnitra
15	_
16	a
17	spolu
18	s
19	ním
20	i
21	v
22	poslední
23	době
24	často
25	kritizovaný
26	premiér
27	Felipe
28	González
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Bude	AUX	5	aux
2	-	PUNCT	5	punct
3	li	PART	5	mark
4	Vera	PROPN	5	nsubj
5	mluvit	VERB	7	advcl
6	,	PUNCT	5	punct
7	zapotí	VERB	0	root
8	se	PRON	7	expl:pv
9	hlavně	ADV	11	advmod:emph
10	jeho	DET	11	det
11	nadřízení	NOUN	7	nsubj
12	:	PUNCT	13	punct
13	ministr	NOUN	11	appos
14	vnitra	NOUN	13	nmod
15	_	_	None	_
16	a	CCONJ	18	cc
17	spolu	ADV	18	case
18	s	ADP	16	fixed
19	ním	PRON	7	conj
20	i	CCONJ	25	advmod:emph
21	v	ADP	22	case
22	poslední	ADJ	22	amod
23	době	NOUN	24	obl
24	často	ADV	24	advmod
25	kritizovaný	ADJ	25	amod
26	premiér	NOUN	18	orphan
27	Felipe	PROPN	25	flat
28	González	PROPN	25	flat
29	.	PUNCT	7	punct