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: Za nejlepší ji považuje 13 procent dotázaných, nejčastěji respondenti starší 60 let (24 %) a lidé z domácností s nejnižším příjmem (20 %).
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	2	case
2	nejlepší	ADJ	4	obl:arg
3	ji	PRON	4	obj
4	považuje	VERB	0	root
5	13	NUM	6	nummod:gov
6	procent	NOUN	4	nsubj
7	dotázaných	ADJ	6	dep
8	_	_	None	_
9	,	PUNCT	9	punct
10	nejčastěji	ADV	4	conj
11	respondenti	NOUN	9	orphan
12	starší	ADJ	10	amod
13	60	NUM	13	nummod
14	let	NOUN	11	obl
15	(	PUNCT	10	punct
16	24	NUM	10	dep
17	%	SYM	15	nmod
18	)	PUNCT	10	punct
19	a	CCONJ	19	cc
20	lidé	NOUN	10	conj
21	z	ADP	21	case
22	domácností	NOUN	19	nmod
23	s	ADP	24	case
24	nejnižším	ADJ	24	amod
25	příjmem	NOUN	21	nmod
26	(	PUNCT	19	punct
27	20	NUM	19	dep
28	%	SYM	26	nmod
29	)	PUNCT	19	punct
30	.	PUNCT	4	punct