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:
Nesledujeme tím jen mimořádný zisk, ale především vytvoření konkurenčního prostředí, které bude mít vliv na kvalitu a cenu poskytovaných radiotelefonických služeb, vysvětluje Miroslav Čuřín.
Postion	Tokenization
1	Nesledujeme
2	tím
3	jen
4	mimořádný
5	zisk
6	,
7	ale
8	především
9	vytvoření
10	konkurenčního
11	prostředí
12	,
13	které
14	bude
15	mít
16	vliv
17	na
18	kvalitu
19	a
20	cenu
21	poskytovaných
22	radiotelefonických
23	služeb
24	,
25	vysvětluje
26	Miroslav
27	Čuřín
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Nesledujeme	VERB	25	ccomp
2	tím	DET	1	obl:arg
3	jen	PART	5	advmod:emph
4	mimořádný	ADJ	5	amod
5	zisk	NOUN	1	obj
6	,	PUNCT	9	punct
7	ale	CCONJ	9	cc
8	především	ADV	9	advmod:emph
9	vytvoření	NOUN	5	conj
10	konkurenčního	ADJ	11	amod
11	prostředí	NOUN	9	nmod
12	,	PUNCT	15	punct
13	které	DET	15	nsubj
14	bude	AUX	15	aux
15	mít	VERB	11	acl:relcl
16	vliv	NOUN	15	obj
17	na	ADP	18	case
18	kvalitu	NOUN	16	nmod
19	a	CCONJ	20	cc
20	cenu	NOUN	18	conj
21	poskytovaných	ADJ	23	amod
22	radiotelefonických	ADJ	23	amod
23	služeb	NOUN	18	nmod
24	,	PUNCT	15	punct
25	vysvětluje	VERB	0	root
26	Miroslav	PROPN	25	nsubj
27	Čuřín	PROPN	26	flat
28	.	PUNCT	25	punct