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: Na otázku reprezentativního oficiálního nezávislého průzkumu v rámci Media-projektu, "kterou televizi jste včera sledoval", uvedlo v posledním čtvrtletí loňského roku v průměru asi 68 % stanici Nova, 24 % ČT 1, 2.3 % ČT 2, 1.7 procenta Premiéru a tři procenta ostatní stanice.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	otázku	NOUN	21	obl
3	reprezentativního	ADJ	6	amod
4	oficiálního	ADJ	6	amod
5	nezávislého	ADJ	6	amod
6	průzkumu	NOUN	2	nmod
7	v	ADP	11	case
8	rámci	NOUN	7	fixed
9	Media	NOUN	11	nmod
10	-	PUNCT	9	punct
11	projektu	NOUN	6	nmod
12	,	PUNCT	18	punct
13	"	PUNCT	18	punct
14	kterou	DET	15	det
15	televizi	NOUN	18	obj
16	jste	AUX	18	aux
17	včera	ADV	18	advmod
18	sledoval	VERB	2	acl
19	"	PUNCT	18	punct
20	,	PUNCT	18	punct
21	uvedlo	VERB	0	root
22	v	ADP	24	case
23	posledním	ADJ	24	amod
24	čtvrtletí	NOUN	21	obl
25	loňského	ADJ	26	amod
26	roku	NOUN	24	nmod
27	v	ADP	28	case
28	průměru	NOUN	21	obl
29	asi	PART	30	advmod:emph
30	68	NUM	21	nsubj
31	%	SYM	30	nmod
32	stanici	NOUN	21	obj
33	Nova	PROPN	32	nmod
34	_	_	None	_
35	,	PUNCT	35	punct
36	24	NUM	21	conj
37	%	SYM	35	nmod
38	ČT	PROPN	35	orphan
39	1	NUM	37	nummod
40	,	PUNCT	35	punct
41	2.3	NUM	35	orphan
42	%	SYM	40	nmod
43	ČT	PROPN	35	orphan
44	2	NUM	42	nummod
45	,	PUNCT	35	punct
46	1.7	NUM	46	nummod:gov
47	procenta	NOUN	35	orphan
48	Premiéru	NOUN	35	orphan
49	a	CCONJ	35	cc
50	tři	NUM	50	nummod
51	procenta	NOUN	35	orphan
52	ostatní	ADJ	52	amod
53	stanice	NOUN	35	orphan
54	.	PUNCT	21	punct