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:
Při včerejší návštěvě Brna uvedl ministr zemědělství Josef Lux, že zavedení certifikátů staví bariéry v obchodu mezi oběma státy a ve svém důsledku poškodí české podnikatele a slovenské spotřebitele.
Postion	Tokenization
1	Při
2	včerejší
3	návštěvě
4	Brna
5	uvedl
6	ministr
7	zemědělství
8	Josef
9	Lux
10	,
11	že
12	zavedení
13	certifikátů
14	staví
15	bariéry
16	v
17	obchodu
18	mezi
19	oběma
20	státy
21	a
22	ve
23	svém
24	důsledku
25	poškodí
26	české
27	podnikatele
28	a
29	slovenské
30	spotřebitele
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Při	ADP	3	case
2	včerejší	ADJ	3	amod
3	návštěvě	NOUN	5	obl
4	Brna	PROPN	3	nmod
5	uvedl	VERB	0	root
6	ministr	NOUN	5	nsubj
7	zemědělství	NOUN	6	nmod
8	Josef	PROPN	6	flat
9	Lux	PROPN	6	flat
10	,	PUNCT	14	punct
11	že	SCONJ	14	mark
12	zavedení	NOUN	14	nsubj
13	certifikátů	NOUN	12	nmod
14	staví	VERB	5	ccomp
15	bariéry	NOUN	14	obj
16	v	ADP	17	case
17	obchodu	NOUN	15	nmod
18	mezi	ADP	20	case
19	oběma	NUM	20	nummod
20	státy	NOUN	15	nmod
21	a	CCONJ	25	cc
22	ve	ADP	24	case
23	svém	DET	24	det
24	důsledku	NOUN	25	obl
25	poškodí	VERB	14	conj
26	české	ADJ	27	amod
27	podnikatele	NOUN	25	obj
28	a	CCONJ	30	cc
29	slovenské	ADJ	30	amod
30	spotřebitele	NOUN	27	conj
31	.	PUNCT	5	punct