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:
Těmito slovy reagoval na dotaz, zda ČT svou reklamní aktivitou hrazenou z poplatků občanů uměle nesnižuje ceny reklam soukromým televizím.
Postion	Tokenization
1	Těmito
2	slovy
3	reagoval
4	na
5	dotaz
6	,
7	zda
8	ČT
9	svou
10	reklamní
11	aktivitou
12	hrazenou
13	z
14	poplatků
15	občanů
16	uměle
17	nesnižuje
18	ceny
19	reklam
20	soukromým
21	televizím
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Těmito	DET	2	det
2	slovy	NOUN	3	obl
3	reagoval	VERB	0	root
4	na	ADP	5	case
5	dotaz	NOUN	3	obl:arg
6	,	PUNCT	17	punct
7	zda	SCONJ	17	mark
8	ČT	PROPN	17	nsubj
9	svou	DET	11	det
10	reklamní	ADJ	11	amod
11	aktivitou	NOUN	17	obl
12	hrazenou	ADJ	11	amod
13	z	ADP	14	case
14	poplatků	NOUN	12	obl
15	občanů	NOUN	14	nmod
16	uměle	ADV	17	advmod
17	nesnižuje	VERB	5	acl
18	ceny	NOUN	17	obj
19	reklam	NOUN	18	nmod
20	soukromým	ADJ	21	amod
21	televizím	NOUN	17	obl:arg
22	.	PUNCT	3	punct