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 text: Pokud jde o možné "třecí plochy" ve vzájemném obchodu (například v zemědělství), upozornil včera na tiskové konferenci ministr Zieleniec na fakt, že nyní k nám Francie vyváží desetkrát více zemědělských výrobků, než dováží.
Position	Tokenization	UPOS	Head	Deprel
1	Pokud	SCONJ	2	mark
2	jde	VERB	18	advcl
3	o	ADP	7	case
4	možné	ADJ	7	amod
5	"	PUNCT	7	punct
6	třecí	ADJ	7	amod
7	plochy	NOUN	2	obl:arg
8	"	PUNCT	7	punct
9	ve	ADP	11	case
10	vzájemném	ADJ	11	amod
11	obchodu	NOUN	7	nmod
12	(	PUNCT	15	punct
13	například	ADV	15	advmod:emph
14	v	ADP	15	case
15	zemědělství	NOUN	7	nmod
16	)	PUNCT	15	punct
17	,	PUNCT	2	punct
18	upozornil	VERB	0	root
19	včera	ADV	18	advmod
20	na	ADP	22	case
21	tiskové	ADJ	22	amod
22	konferenci	NOUN	18	obl
23	ministr	NOUN	18	nsubj
24	Zieleniec	PROPN	23	flat
25	na	ADP	26	case
26	fakt	NOUN	18	obl:arg
27	,	PUNCT	33	punct
28	že	SCONJ	33	mark
29	nyní	ADV	33	advmod
30	k	ADP	31	case
31	nám	PRON	33	obl
32	Francie	PROPN	33	nsubj
33	vyváží	VERB	26	acl
34	desetkrát	ADV	35	obl
35	více	ADV	33	obj
36	zemědělských	ADJ	37	amod
37	výrobků	NOUN	35	nmod
38	,	PUNCT	40	punct
39	než	SCONJ	40	mark
40	dováží	VERB	35	advcl
41	.	PUNCT	18	punct