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:
Jak řekl tiskový mluvčí brněnské policie Z. Lubas, policie mj. zjišťuje, zda mezi taxikářem a násilníky existuje nějaký bližší vztah.
Postion	Tokenization
1	Jak
2	řekl
3	tiskový
4	mluvčí
5	brněnské
6	policie
7	Z
8	.
9	Lubas
10	,
11	policie
12	mj
13	.
14	zjišťuje
15	,
16	zda
17	mezi
18	taxikářem
19	a
20	násilníky
21	existuje
22	nějaký
23	bližší
24	vztah
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	SCONJ	2	mark
2	řekl	VERB	14	parataxis
3	tiskový	ADJ	4	amod
4	mluvčí	NOUN	2	nsubj
5	brněnské	ADJ	6	amod
6	policie	NOUN	4	nmod
7	Z	PROPN	4	flat
8	.	PUNCT	7	punct
9	Lubas	PROPN	4	flat
10	,	PUNCT	2	punct
11	policie	NOUN	14	nsubj
12	mj	ADV	14	advmod
13	.	PUNCT	12	punct
14	zjišťuje	VERB	0	root
15	,	PUNCT	21	punct
16	zda	SCONJ	21	mark
17	mezi	ADP	18	case
18	taxikářem	NOUN	21	obl
19	a	CCONJ	20	cc
20	násilníky	NOUN	18	conj
21	existuje	VERB	14	ccomp
22	nějaký	DET	24	det
23	bližší	ADJ	24	amod
24	vztah	NOUN	21	nsubj
25	.	PUNCT	14	punct