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:
Vítěz 11. závodu Českého poháru v triatlonu Tomáš Kočař z Kepák JOKO týmu Brno získal vzhledem k tomu, že Grand Prix Joko měla nejvyšší koeficient 1.5, plných 50 tisíc korun.
Postion	Tokenization
1	Vítěz
2	11
3	.
4	závodu
5	Českého
6	poháru
7	v
8	triatlonu
9	Tomáš
10	Kočař
11	z
12	Kepák
13	JOKO
14	týmu
15	Brno
16	získal
17	vzhledem
18	k
19	tomu
20	,
21	že
22	Grand
23	Prix
24	Joko
25	měla
26	nejvyšší
27	koeficient
28	1.5
29	,
30	plných
31	50
32	tisíc
33	korun
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Vítěz	NOUN	16	nsubj
2	11	NUM	4	nummod
3	.	PUNCT	2	punct
4	závodu	NOUN	1	nmod
5	Českého	ADJ	6	amod
6	poháru	NOUN	4	nmod
7	v	ADP	8	case
8	triatlonu	NOUN	6	nmod
9	Tomáš	PROPN	1	flat
10	Kočař	PROPN	1	flat
11	z	ADP	14	case
12	Kepák	PROPN	13	nmod
13	JOKO	PROPN	14	nmod
14	týmu	NOUN	1	nmod
15	Brno	PROPN	14	nmod
16	získal	VERB	0	root
17	vzhledem	ADP	19	case
18	k	ADP	17	fixed
19	tomu	DET	16	obl
20	,	PUNCT	25	punct
21	že	SCONJ	25	mark
22	Grand	ADJ	25	nsubj
23	Prix	PROPN	22	flat:foreign
24	Joko	PROPN	22	nmod
25	měla	VERB	19	acl
26	nejvyšší	ADJ	27	amod
27	koeficient	NOUN	25	obj
28	1.5	NUM	27	nummod
29	,	PUNCT	31	punct
30	plných	ADJ	31	amod
31	50	NUM	33	nummod:gov
32	tisíc	NUM	33	nummod:gov
33	korun	NOUN	28	appos
34	.	PUNCT	16	punct