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:
Navíc jsme s využitím poznatků Pavla Huťky, zástupce Pro Kennex v Československu, dali dohromady typ Destiny Black ACE pro špičkové závodní hráče.
Postion	Tokenization
1	Navíc
2	jsme
3	s
4	využitím
5	poznatků
6	Pavla
7	Huťky
8	,
9	zástupce
10	Pro
11	Kennex
12	v
13	Československu
14	,
15	dali
16	dohromady
17	typ
18	Destiny
19	Black
20	ACE
21	pro
22	špičkové
23	závodní
24	hráče
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Navíc	ADV	15	advmod
2	jsme	AUX	15	aux
3	s	ADP	4	case
4	využitím	NOUN	15	obl
5	poznatků	NOUN	4	nmod
6	Pavla	PROPN	5	nmod
7	Huťky	PROPN	6	flat
8	,	PUNCT	9	punct
9	zástupce	NOUN	6	appos
10	Pro	ADP	9	nmod
11	Kennex	PROPN	9	nmod
12	v	ADP	13	case
13	Československu	PROPN	9	nmod
14	,	PUNCT	9	punct
15	dali	VERB	0	root
16	dohromady	ADV	15	advmod
17	typ	NOUN	15	obj
18	Destiny	ADJ	17	nmod
19	Black	PROPN	18	nmod
20	ACE	PROPN	18	flat:foreign
21	pro	ADP	24	case
22	špičkové	ADJ	24	amod
23	závodní	ADJ	24	amod
24	hráče	NOUN	17	nmod
25	.	PUNCT	15	punct