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:
Nejlepší čas mezi stopětadvacítkami absolvoval mistr světa Japonec Sakata na aprilii, ve třídě 250 ccm se nejlépe dařilo bývalému motokrosaři Francouzovi Bayelovi na stejné značce.
Postion	Tokenization
1	Nejlepší
2	čas
3	mezi
4	stopětadvacítkami
5	absolvoval
6	mistr
7	světa
8	Japonec
9	Sakata
10	na
11	aprilii
12	,
13	ve
14	třídě
15	250
16	ccm
17	se
18	nejlépe
19	dařilo
20	bývalému
21	motokrosaři
22	Francouzovi
23	Bayelovi
24	na
25	stejné
26	značce
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejlepší	ADJ	2	amod
2	čas	NOUN	5	obj
3	mezi	ADP	4	case
4	stopětadvacítkami	NOUN	1	obl
5	absolvoval	VERB	0	root
6	mistr	NOUN	5	nsubj
7	světa	NOUN	6	nmod
8	Japonec	PROPN	6	flat
9	Sakata	PROPN	6	flat
10	na	ADP	11	case
11	aprilii	PROPN	5	obl
12	,	PUNCT	19	punct
13	ve	ADP	14	case
14	třídě	NOUN	19	obl
15	250	NUM	14	nummod
16	ccm	NOUN	15	nmod
17	se	PRON	19	expl:pv
18	nejlépe	ADV	19	advmod
19	dařilo	VERB	5	conj
20	bývalému	ADJ	21	amod
21	motokrosaři	NOUN	19	obl:arg
22	Francouzovi	PROPN	21	flat
23	Bayelovi	PROPN	21	flat
24	na	ADP	26	case
25	stejné	ADJ	26	amod
26	značce	NOUN	19	obl
27	.	PUNCT	5	punct