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:
Bohuslav Brix z ministerstva životního prostředí LN naopak sdělil, že nový návrh ozónového zákona plně vychází z mezinárodních úmluv a odpovídá podobným zákonům ekonomicky nejvyspělejších zemí.
Postion	Tokenization
1	Bohuslav
2	Brix
3	z
4	ministerstva
5	životního
6	prostředí
7	LN
8	naopak
9	sdělil
10	,
11	že
12	nový
13	návrh
14	ozónového
15	zákona
16	plně
17	vychází
18	z
19	mezinárodních
20	úmluv
21	a
22	odpovídá
23	podobným
24	zákonům
25	ekonomicky
26	nejvyspělejších
27	zemí
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Bohuslav	PROPN	9	nsubj
2	Brix	PROPN	1	flat
3	z	ADP	4	case
4	ministerstva	NOUN	1	nmod
5	životního	ADJ	6	amod
6	prostředí	NOUN	4	nmod
7	LN	PROPN	9	iobj
8	naopak	ADV	9	advmod
9	sdělil	VERB	0	root
10	,	PUNCT	17	punct
11	že	SCONJ	17	mark
12	nový	ADJ	13	amod
13	návrh	NOUN	17	nsubj
14	ozónového	ADJ	15	amod
15	zákona	NOUN	13	nmod
16	plně	ADV	17	advmod
17	vychází	VERB	9	ccomp
18	z	ADP	20	case
19	mezinárodních	ADJ	20	amod
20	úmluv	NOUN	17	obl:arg
21	a	CCONJ	22	cc
22	odpovídá	VERB	17	conj
23	podobným	ADJ	24	amod
24	zákonům	NOUN	22	obl:arg
25	ekonomicky	ADV	26	advmod
26	nejvyspělejších	ADJ	27	amod
27	zemí	NOUN	24	nmod
28	.	PUNCT	9	punct