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:
ČT má méně starostí s reklamou asi proto, že ji vysílá hlavně v době svých zpravodajských pořadů, které mají větší sledovanost než zprávy Novy, řekl.
Postion	Tokenization
1	ČT
2	má
3	méně
4	starostí
5	s
6	reklamou
7	asi
8	proto
9	,
10	že
11	ji
12	vysílá
13	hlavně
14	v
15	době
16	svých
17	zpravodajských
18	pořadů
19	,
20	které
21	mají
22	větší
23	sledovanost
24	než
25	zprávy
26	Novy
27	,
28	řekl
29	.
Position	Tokenization	UPOS	Head	Deprel
1	ČT	PROPN	2	nsubj
2	má	VERB	28	ccomp
3	méně	ADV	2	obj
4	starostí	NOUN	3	nmod
5	s	ADP	6	case
6	reklamou	NOUN	4	nmod
7	asi	PART	2	advmod
8	proto	ADV	2	advmod
9	,	PUNCT	12	punct
10	že	SCONJ	12	mark
11	ji	PRON	12	obj
12	vysílá	VERB	2	advcl
13	hlavně	ADV	15	advmod:emph
14	v	ADP	15	case
15	době	NOUN	12	obl
16	svých	DET	18	det
17	zpravodajských	ADJ	18	amod
18	pořadů	NOUN	15	nmod
19	,	PUNCT	21	punct
20	které	DET	21	nsubj
21	mají	VERB	18	acl:relcl
22	větší	ADJ	23	amod
23	sledovanost	NOUN	21	obj
24	než	SCONJ	25	mark
25	zprávy	NOUN	22	advcl
26	Novy	PROPN	25	nmod
27	,	PUNCT	2	punct
28	řekl	VERB	0	root
29	.	PUNCT	28	punct