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:
Právě tato skutečnost se stala jedním z důvodů, kvůli kterým se Nejvyšší kontrolní úřad rozhodl zkontrolovat hospodaření fondu a zároveň i ministerstva kultury a financí.
Postion	Tokenization
1	Právě
2	tato
3	skutečnost
4	se
5	stala
6	jedním
7	z
8	důvodů
9	,
10	kvůli
11	kterým
12	se
13	Nejvyšší
14	kontrolní
15	úřad
16	rozhodl
17	zkontrolovat
18	hospodaření
19	fondu
20	_
21	a
22	zároveň
23	i
24	ministerstva
25	kultury
26	a
27	financí
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Právě	ADV	3	advmod:emph
2	tato	DET	3	det
3	skutečnost	NOUN	5	nsubj
4	se	PRON	5	expl:pv
5	stala	VERB	0	root
6	jedním	NUM	5	obl:arg
7	z	ADP	8	case
8	důvodů	NOUN	6	nmod
9	,	PUNCT	16	punct
10	kvůli	ADP	11	case
11	kterým	DET	16	obl
12	se	PRON	16	expl:pv
13	Nejvyšší	ADJ	15	amod
14	kontrolní	ADJ	15	amod
15	úřad	NOUN	16	nsubj
16	rozhodl	VERB	8	acl:relcl
17	zkontrolovat	VERB	16	xcomp
18	hospodaření	NOUN	17	obj
19	fondu	NOUN	18	nmod
20	_	_	None	_
21	a	CCONJ	21	cc
22	zároveň	ADV	16	conj
23	i	CCONJ	23	advmod:emph
24	ministerstva	NOUN	21	orphan
25	kultury	NOUN	23	nmod
26	a	CCONJ	26	cc
27	financí	NOUN	24	conj
28	.	PUNCT	5	punct