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: I na těchto dvou trzích však nepochybně brzy dojde ke vzájemnému těsnému přiblížení - či dokonce splynutí - cen, protože stejný rohlík také nikdo neprodá, ale ani nekoupí, za dvě podstatně odlišné ceny.
Position	Tokenization	UPOS	Head	Deprel
1	I	CCONJ	5	advmod:emph
2	na	ADP	5	case
3	těchto	DET	5	det
4	dvou	NUM	5	nummod
5	trzích	NOUN	9	obl
6	však	CCONJ	9	cc
7	nepochybně	ADV	9	advmod
8	brzy	ADV	9	advmod
9	dojde	VERB	0	root
10	ke	ADP	13	case
11	vzájemnému	ADJ	13	amod
12	těsnému	ADJ	13	amod
13	přiblížení	NOUN	9	obl:arg
14	-	PUNCT	17	punct
15	či	CCONJ	17	cc
16	dokonce	ADV	17	advmod:emph
17	splynutí	NOUN	13	conj
18	-	PUNCT	13	punct
19	cen	NOUN	13	nmod
20	,	PUNCT	26	punct
21	protože	SCONJ	26	mark
22	stejný	ADJ	23	amod
23	rohlík	NOUN	26	obj
24	také	ADV	26	advmod
25	nikdo	PRON	26	nsubj
26	neprodá	VERB	9	advcl
27	,	PUNCT	30	punct
28	ale	CCONJ	30	cc
29	ani	CCONJ	30	cc
30	nekoupí	VERB	26	parataxis
31	,	PUNCT	30	punct
32	za	ADP	36	case
33	dvě	NUM	36	nummod
34	podstatně	ADV	35	advmod
35	odlišné	ADJ	36	amod
36	ceny	NOUN	26	obl:arg
37	.	PUNCT	9	punct