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:
Ve všech třídách dominovaly italské stroje Aprilia, smůlu měl naopak pilot Hondy a obhájce loňského stříbra ve stopětadvacítkách Japonec Ueda, který havaroval a utrpěl frakturu pravého kotníku.
Postion	Tokenization
1	Ve
2	všech
3	třídách
4	dominovaly
5	italské
6	stroje
7	Aprilia
8	,
9	smůlu
10	měl
11	naopak
12	pilot
13	Hondy
14	a
15	obhájce
16	loňského
17	stříbra
18	ve
19	stopětadvacítkách
20	Japonec
21	Ueda
22	,
23	který
24	havaroval
25	a
26	utrpěl
27	frakturu
28	pravého
29	kotníku
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	3	case
2	všech	DET	3	det
3	třídách	NOUN	4	obl
4	dominovaly	VERB	0	root
5	italské	ADJ	6	amod
6	stroje	NOUN	4	nsubj
7	Aprilia	PROPN	6	nmod
8	,	PUNCT	10	punct
9	smůlu	NOUN	10	obj
10	měl	VERB	4	conj
11	naopak	ADV	10	advmod
12	pilot	NOUN	20	nmod
13	Hondy	PROPN	12	nmod
14	a	CCONJ	15	cc
15	obhájce	NOUN	12	conj
16	loňského	ADJ	17	amod
17	stříbra	NOUN	15	nmod
18	ve	ADP	19	case
19	stopětadvacítkách	NOUN	17	nmod
20	Japonec	PROPN	10	nsubj
21	Ueda	PROPN	20	flat
22	,	PUNCT	24	punct
23	který	DET	24	nsubj
24	havaroval	VERB	20	acl:relcl
25	a	CCONJ	26	cc
26	utrpěl	VERB	24	conj
27	frakturu	NOUN	26	obj
28	pravého	ADJ	29	amod
29	kotníku	NOUN	27	nmod
30	.	PUNCT	4	punct