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:
V průzkumu veřejného mínění, který počátkem února uskutečnil Institut pro výzkum veřejného mínění (IVVM), získala nejvíce volebních preferencí ODS - 30 %.
Postion	Tokenization
1	V
2	průzkumu
3	veřejného
4	mínění
5	,
6	který
7	počátkem
8	února
9	uskutečnil
10	Institut
11	pro
12	výzkum
13	veřejného
14	mínění
15	(
16	IVVM
17	)
18	,
19	získala
20	nejvíce
21	volebních
22	preferencí
23	ODS
24	-
25	30
26	%
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	průzkumu	NOUN	19	obl
3	veřejného	ADJ	4	amod
4	mínění	NOUN	2	nmod
5	,	PUNCT	9	punct
6	který	DET	9	obj
7	počátkem	NOUN	8	case
8	února	NOUN	9	obl
9	uskutečnil	VERB	2	acl:relcl
10	Institut	NOUN	9	nsubj
11	pro	ADP	12	case
12	výzkum	NOUN	10	nmod
13	veřejného	ADJ	14	amod
14	mínění	NOUN	12	nmod
15	(	PUNCT	16	punct
16	IVVM	PROPN	10	appos
17	)	PUNCT	16	punct
18	,	PUNCT	9	punct
19	získala	VERB	0	root
20	nejvíce	ADV	19	obj
21	volebních	ADJ	22	amod
22	preferencí	NOUN	20	nmod
23	ODS	PROPN	19	nsubj
24	-	PUNCT	25	punct
25	30	NUM	19	obj
26	%	SYM	25	nmod
27	.	PUNCT	19	punct