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:
"Hlavní tíha z hlediska dokumentování této trestné činnosti a zjištění konkrétních pachatelů ve vztahu ke konkrétním trestným činům bude na orgánech policie," uvedl ministr spravedlnosti Jiří Novák.
Postion	Tokenization
1	"
2	Hlavní
3	tíha
4	z
5	hlediska
6	dokumentování
7	této
8	trestné
9	činnosti
10	a
11	zjištění
12	konkrétních
13	pachatelů
14	ve
15	vztahu
16	ke
17	konkrétním
18	trestným
19	činům
20	bude
21	na
22	orgánech
23	policie
24	,
25	"
26	uvedl
27	ministr
28	spravedlnosti
29	Jiří
30	Novák
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	20	punct
2	Hlavní	ADJ	3	amod
3	tíha	NOUN	20	nsubj
4	z	ADP	6	case
5	hlediska	NOUN	4	fixed
6	dokumentování	NOUN	20	obl
7	této	DET	9	det
8	trestné	ADJ	9	amod
9	činnosti	NOUN	6	nmod
10	a	CCONJ	11	cc
11	zjištění	NOUN	6	conj
12	konkrétních	ADJ	13	amod
13	pachatelů	NOUN	11	nmod
14	ve	ADP	19	case
15	vztahu	NOUN	14	fixed
16	ke	ADP	14	fixed
17	konkrétním	ADJ	19	amod
18	trestným	ADJ	19	amod
19	činům	NOUN	11	nmod
20	bude	VERB	26	ccomp
21	na	ADP	22	case
22	orgánech	NOUN	20	obl
23	policie	NOUN	22	nmod
24	,	PUNCT	20	punct
25	"	PUNCT	20	punct
26	uvedl	VERB	0	root
27	ministr	NOUN	26	nsubj
28	spravedlnosti	NOUN	27	nmod
29	Jiří	PROPN	27	flat
30	Novák	PROPN	27	flat
31	.	PUNCT	26	punct