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:
Ministr vnitra Jan Ruml při představení ředitele poznamenal, že komunikace mezi resortem a prezidiem existuje a nyní jde o jednotné úsilí řešit bezpečnost ve státě.
Postion	Tokenization
1	Ministr
2	vnitra
3	Jan
4	Ruml
5	při
6	představení
7	ředitele
8	poznamenal
9	,
10	že
11	komunikace
12	mezi
13	resortem
14	a
15	prezidiem
16	existuje
17	a
18	nyní
19	jde
20	o
21	jednotné
22	úsilí
23	řešit
24	bezpečnost
25	ve
26	státě
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	8	nsubj
2	vnitra	NOUN	1	nmod
3	Jan	PROPN	1	flat
4	Ruml	PROPN	1	flat
5	při	ADP	6	case
6	představení	NOUN	8	obl
7	ředitele	NOUN	6	nmod
8	poznamenal	VERB	0	root
9	,	PUNCT	16	punct
10	že	SCONJ	16	mark
11	komunikace	NOUN	16	nsubj
12	mezi	ADP	13	case
13	resortem	NOUN	11	nmod
14	a	CCONJ	15	cc
15	prezidiem	NOUN	13	conj
16	existuje	VERB	8	ccomp
17	a	CCONJ	19	cc
18	nyní	ADV	19	advmod
19	jde	VERB	16	conj
20	o	ADP	22	case
21	jednotné	ADJ	22	amod
22	úsilí	NOUN	19	obl:arg
23	řešit	VERB	22	acl
24	bezpečnost	NOUN	23	obj
25	ve	ADP	26	case
26	státě	NOUN	24	nmod
27	.	PUNCT	8	punct