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:
Prezident NKÚ Lidovým novinám řekl, že ani opatření, která byla proti úniku informací přijata již dříve, nebyla motivována přáním nějakého subjektu mimo samotný úřad.
Postion	Tokenization
1	Prezident
2	NKÚ
3	Lidovým
4	novinám
5	řekl
6	,
7	že
8	ani
9	opatření
10	,
11	která
12	byla
13	proti
14	úniku
15	informací
16	přijata
17	již
18	dříve
19	,
20	nebyla
21	motivována
22	přáním
23	nějakého
24	subjektu
25	mimo
26	samotný
27	úřad
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Prezident	NOUN	5	nsubj
2	NKÚ	PROPN	1	nmod
3	Lidovým	ADJ	4	amod
4	novinám	NOUN	5	obl:arg
5	řekl	VERB	0	root
6	,	PUNCT	21	punct
7	že	SCONJ	21	mark
8	ani	CCONJ	9	advmod:emph
9	opatření	NOUN	21	nsubj:pass
10	,	PUNCT	16	punct
11	která	DET	16	nsubj:pass
12	byla	AUX	16	aux:pass
13	proti	ADP	14	case
14	úniku	NOUN	16	obl
15	informací	NOUN	14	nmod
16	přijata	ADJ	9	amod
17	již	ADV	18	advmod:emph
18	dříve	ADV	16	advmod
19	,	PUNCT	16	punct
20	nebyla	AUX	21	aux:pass
21	motivována	ADJ	5	obj
22	přáním	NOUN	21	obl:arg
23	nějakého	DET	24	det
24	subjektu	NOUN	22	nmod
25	mimo	ADP	27	case
26	samotný	ADJ	27	amod
27	úřad	NOUN	24	nmod
28	.	PUNCT	5	punct