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:
Například technologie s použitím suchých omítkových směsí počítá s několikanásobně menším počtem zedníků, než při využití klasických metod a postupů.
Postion	Tokenization
1	Například
2	technologie
3	s
4	použitím
5	suchých
6	omítkových
7	směsí
8	počítá
9	s
10	několikanásobně
11	menším
12	počtem
13	zedníků
14	,
15	než
16	při
17	využití
18	klasických
19	metod
20	a
21	postupů
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Například	ADV	2	cc
2	technologie	NOUN	8	nsubj
3	s	ADP	4	case
4	použitím	NOUN	2	nmod
5	suchých	ADJ	7	amod
6	omítkových	ADJ	7	amod
7	směsí	NOUN	4	nmod
8	počítá	VERB	0	root
9	s	ADP	12	case
10	několikanásobně	ADV	11	advmod
11	menším	ADJ	12	amod
12	počtem	NOUN	8	obl:arg
13	zedníků	NOUN	12	nmod
14	,	PUNCT	17	punct
15	než	SCONJ	17	mark
16	při	ADP	17	case
17	využití	NOUN	11	dep
18	klasických	ADJ	19	amod
19	metod	NOUN	17	nmod
20	a	CCONJ	21	cc
21	postupů	NOUN	19	conj
22	.	PUNCT	8	punct