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 spravedlnosti Jiří Novák (ODS) řekl LN, že se tento názor projevil při nedávném projednávání návrhu zákona o advokacii.
Postion	Tokenization
1	Ministr
2	spravedlnosti
3	Jiří
4	Novák
5	(
6	ODS
7	)
8	řekl
9	LN
10	,
11	že
12	se
13	tento
14	názor
15	projevil
16	při
17	nedávném
18	projednávání
19	návrhu
20	zákona
21	o
22	advokacii
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	8	nsubj
2	spravedlnosti	NOUN	1	nmod
3	Jiří	PROPN	1	flat
4	Novák	PROPN	1	flat
5	(	PUNCT	1	punct
6	ODS	PROPN	1	dep
7	)	PUNCT	1	punct
8	řekl	VERB	0	root
9	LN	PROPN	8	iobj
10	,	PUNCT	15	punct
11	že	SCONJ	15	mark
12	se	PRON	15	expl:pv
13	tento	DET	14	det
14	názor	NOUN	15	nsubj
15	projevil	VERB	8	ccomp
16	při	ADP	18	case
17	nedávném	ADJ	18	amod
18	projednávání	NOUN	15	obl
19	návrhu	NOUN	18	nmod
20	zákona	NOUN	19	nmod
21	o	ADP	22	case
22	advokacii	NOUN	20	nmod
23	.	PUNCT	8	punct