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:
Na dálnicích a kvalitních vozovkách ani při této rychlosti nevadí o poznání tvrdší pérování, které ovšem má svůj význam při ostřejším projíždění zatáček.
Postion	Tokenization
1	Na
2	dálnicích
3	a
4	kvalitních
5	vozovkách
6	ani
7	při
8	této
9	rychlosti
10	nevadí
11	o
12	poznání
13	tvrdší
14	pérování
15	,
16	které
17	ovšem
18	má
19	svůj
20	význam
21	při
22	ostřejším
23	projíždění
24	zatáček
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	dálnicích	NOUN	10	obl
3	a	CCONJ	5	cc
4	kvalitních	ADJ	5	amod
5	vozovkách	NOUN	2	conj
6	ani	CCONJ	9	advmod:emph
7	při	ADP	9	case
8	této	DET	9	det
9	rychlosti	NOUN	10	obl
10	nevadí	VERB	0	root
11	o	ADP	12	case
12	poznání	NOUN	13	obl
13	tvrdší	ADJ	14	amod
14	pérování	NOUN	10	nsubj
15	,	PUNCT	18	punct
16	které	DET	18	nsubj
17	ovšem	CCONJ	18	cc
18	má	VERB	14	acl:relcl
19	svůj	DET	20	det
20	význam	NOUN	18	obj
21	při	ADP	23	case
22	ostřejším	ADJ	23	amod
23	projíždění	NOUN	18	obl
24	zatáček	NOUN	23	nmod
25	.	PUNCT	10	punct