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 text: ZNÁMÝ TOVÁRNÍ JEZDEC Tatry Kopřivnice Karel Loprais, který má na svém kontě i vítězství v Rallye Paříž - Dakar a momentálně je na trati Rallye Paříž - Peking, pomáhá svému bratru Milanovi při podnikání.
Position	Tokenization	UPOS	Head	Deprel
1	ZNÁMÝ	ADJ	3	amod
2	TOVÁRNÍ	ADJ	3	amod
3	JEZDEC	NOUN	31	nsubj
4	Tatry	PROPN	3	nmod
5	Kopřivnice	PROPN	4	nmod
6	Karel	PROPN	3	flat
7	Loprais	PROPN	3	flat
8	,	PUNCT	10	punct
9	který	DET	10	nsubj
10	má	VERB	3	acl:relcl
11	na	ADP	13	case
12	svém	DET	13	det
13	kontě	NOUN	10	obl
14	i	CCONJ	15	advmod:emph
15	vítězství	NOUN	10	obj
16	v	ADP	17	case
17	Rallye	NOUN	15	nmod
18	Paříž	PROPN	17	nmod
19	-	PUNCT	20	punct
20	Dakar	PROPN	18	nmod
21	a	CCONJ	23	cc
22	momentálně	ADV	23	advmod
23	je	VERB	10	conj
24	na	ADP	25	case
25	trati	NOUN	23	obl
26	Rallye	NOUN	25	nmod
27	Paříž	PROPN	26	nmod
28	-	PUNCT	29	punct
29	Peking	PROPN	27	nmod
30	,	PUNCT	10	punct
31	pomáhá	VERB	0	root
32	svému	DET	33	det
33	bratru	NOUN	31	obl:arg
34	Milanovi	PROPN	33	flat
35	při	ADP	36	case
36	podnikání	NOUN	31	obl
37	.	PUNCT	31	punct