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:
Pracovník tiskového oddělení policejního prezidia P. K. v bance údajně zjišťoval, zda mu mohou proplatit celkem pět a půl milionu korun na tři nekryté šeky.
Postion	Tokenization
1	Pracovník
2	tiskového
3	oddělení
4	policejního
5	prezidia
6	P
7	.
8	K
9	.
10	v
11	bance
12	údajně
13	zjišťoval
14	,
15	zda
16	mu
17	mohou
18	proplatit
19	celkem
20	pět
21	a
22	půl
23	milionu
24	korun
25	na
26	tři
27	nekryté
28	šeky
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pracovník	NOUN	6	nmod
2	tiskového	ADJ	3	amod
3	oddělení	NOUN	1	nmod
4	policejního	ADJ	5	amod
5	prezidia	NOUN	3	nmod
6	P	PROPN	13	nsubj
7	.	PUNCT	6	punct
8	K	PROPN	6	flat
9	.	PUNCT	6	punct
10	v	ADP	11	case
11	bance	NOUN	13	obl
12	údajně	ADV	13	advmod
13	zjišťoval	VERB	0	root
14	,	PUNCT	17	punct
15	zda	SCONJ	17	mark
16	mu	PRON	18	obl:arg
17	mohou	VERB	13	ccomp
18	proplatit	VERB	17	xcomp
19	celkem	ADV	20	advmod:emph
20	pět	NUM	23	nummod:gov
21	a	CCONJ	22	cc
22	půl	NOUN	20	conj
23	milionu	NOUN	18	obj
24	korun	NOUN	23	nmod
25	na	ADP	28	case
26	tři	NUM	28	nummod
27	nekryté	ADJ	28	amod
28	šeky	NOUN	18	obl
29	.	PUNCT	13	punct