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:
Větší rozhodnost podle Institutu pro výzkum veřejného mínění vykázali především starší občané, zatímco mladší, ve věku 15 až 19 let byli méně rozhodní.
Postion	Tokenization
1	Větší
2	rozhodnost
3	podle
4	Institutu
5	pro
6	výzkum
7	veřejného
8	mínění
9	vykázali
10	především
11	starší
12	občané
13	,
14	zatímco
15	mladší
16	,
17	ve
18	věku
19	15
20	až
21	19
22	let
23	byli
24	méně
25	rozhodní
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Větší	ADJ	2	amod
2	rozhodnost	NOUN	9	obj
3	podle	ADP	4	case
4	Institutu	NOUN	9	obl
5	pro	ADP	6	case
6	výzkum	NOUN	4	nmod
7	veřejného	ADJ	8	amod
8	mínění	NOUN	6	nmod
9	vykázali	VERB	0	root
10	především	ADV	12	advmod:emph
11	starší	ADJ	12	amod
12	občané	NOUN	9	nsubj
13	,	PUNCT	25	punct
14	zatímco	SCONJ	25	mark
15	mladší	ADJ	25	dep
16	,	PUNCT	18	punct
17	ve	ADP	18	case
18	věku	NOUN	15	appos
19	15	NUM	22	nummod:gov
20	až	CCONJ	21	cc
21	19	NUM	19	conj
22	let	NOUN	18	nmod
23	byli	AUX	25	cop
24	méně	ADV	25	advmod
25	rozhodní	ADJ	9	advcl
26	.	PUNCT	9	punct