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:
Kvalita tisku každého uvedeného způsobu je však značně lepší než u termálních tiskáren a trvanlivost dokumentů je prakticky při správném uložení neomezená.
Postion	Tokenization
1	Kvalita
2	tisku
3	každého
4	uvedeného
5	způsobu
6	je
7	však
8	značně
9	lepší
10	než
11	u
12	termálních
13	tiskáren
14	a
15	trvanlivost
16	dokumentů
17	je
18	prakticky
19	při
20	správném
21	uložení
22	neomezená
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Kvalita	NOUN	9	nsubj
2	tisku	NOUN	1	nmod
3	každého	DET	5	det
4	uvedeného	ADJ	5	amod
5	způsobu	NOUN	2	nmod
6	je	AUX	9	cop
7	však	CCONJ	9	cc
8	značně	ADV	9	advmod
9	lepší	ADJ	0	root
10	než	SCONJ	13	mark
11	u	ADP	13	case
12	termálních	ADJ	13	amod
13	tiskáren	NOUN	9	dep
14	a	CCONJ	22	cc
15	trvanlivost	NOUN	22	nsubj
16	dokumentů	NOUN	15	nmod
17	je	AUX	22	cop
18	prakticky	ADV	22	advmod
19	při	ADP	21	case
20	správném	ADJ	21	amod
21	uložení	NOUN	22	obl
22	neomezená	ADJ	9	conj
23	.	PUNCT	9	punct