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:
Důvodem šetření nebyl samotný růst cen, ale snaha rozhodujících výrobců se 70procentním zastoupením na českém trhu vzájemně koordinovat cenovou politiku.
Postion	Tokenization
1	Důvodem
2	šetření
3	nebyl
4	samotný
5	růst
6	cen
7	,
8	ale
9	snaha
10	rozhodujících
11	výrobců
12	se
13	70
14	procentním
15	zastoupením
16	na
17	českém
18	trhu
19	vzájemně
20	koordinovat
21	cenovou
22	politiku
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Důvodem	NOUN	0	root
2	šetření	NOUN	1	nmod
3	nebyl	AUX	1	cop
4	samotný	ADJ	5	amod
5	růst	NOUN	1	nsubj
6	cen	NOUN	5	nmod
7	,	PUNCT	9	punct
8	ale	CCONJ	9	cc
9	snaha	NOUN	5	conj
10	rozhodujících	ADJ	11	amod
11	výrobců	NOUN	9	nmod
12	se	ADP	15	case
13	70	NUM	14	obl
14	procentním	ADJ	15	amod
15	zastoupením	NOUN	11	nmod
16	na	ADP	18	case
17	českém	ADJ	18	amod
18	trhu	NOUN	15	nmod
19	vzájemně	ADV	20	advmod
20	koordinovat	VERB	9	acl
21	cenovou	ADJ	22	amod
22	politiku	NOUN	20	obj
23	.	PUNCT	1	punct