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 zemědělství Josef Lux věří, že rozhodnutí vlády SR o zavedení slovenských jakostních certifikátů pro potraviny dovážené z ČR nebude překážkou ve vzájemném obchodu.
Postion	Tokenization
1	Ministr
2	zemědělství
3	Josef
4	Lux
5	věří
6	,
7	že
8	rozhodnutí
9	vlády
10	SR
11	o
12	zavedení
13	slovenských
14	jakostních
15	certifikátů
16	pro
17	potraviny
18	dovážené
19	z
20	ČR
21	nebude
22	překážkou
23	ve
24	vzájemném
25	obchodu
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	5	nsubj
2	zemědělství	NOUN	1	nmod
3	Josef	PROPN	1	flat
4	Lux	PROPN	1	flat
5	věří	VERB	0	root
6	,	PUNCT	22	punct
7	že	SCONJ	22	mark
8	rozhodnutí	NOUN	22	nsubj
9	vlády	NOUN	8	nmod
10	SR	PROPN	9	nmod
11	o	ADP	12	case
12	zavedení	NOUN	8	nmod
13	slovenských	ADJ	15	amod
14	jakostních	ADJ	15	amod
15	certifikátů	NOUN	12	nmod
16	pro	ADP	17	case
17	potraviny	NOUN	15	nmod
18	dovážené	ADJ	17	amod
19	z	ADP	20	case
20	ČR	PROPN	18	obl
21	nebude	AUX	22	cop
22	překážkou	NOUN	5	ccomp
23	ve	ADP	25	case
24	vzájemném	ADJ	25	amod
25	obchodu	NOUN	22	nmod
26	.	PUNCT	5	punct