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:
I přes neúčast Doohana a Schwantze překvapilo prvenství Itala Reggianiho (Aprilia) ve třídě 500 ccm, až další příčky obsadili jeho krajan Cadalora a Japonec Abe v sedlech strojů Yamaha.
Postion	Tokenization
1	I
2	přes
3	neúčast
4	Doohana
5	a
6	Schwantze
7	překvapilo
8	prvenství
9	Itala
10	Reggianiho
11	(
12	Aprilia
13	)
14	ve
15	třídě
16	500
17	ccm
18	,
19	až
20	další
21	příčky
22	obsadili
23	jeho
24	krajan
25	Cadalora
26	a
27	Japonec
28	Abe
29	v
30	sedlech
31	strojů
32	Yamaha
33	.
Position	Tokenization	UPOS	Head	Deprel
1	I	CCONJ	3	advmod:emph
2	přes	ADP	3	case
3	neúčast	NOUN	7	obl
4	Doohana	PROPN	3	nmod
5	a	CCONJ	6	cc
6	Schwantze	PROPN	4	conj
7	překvapilo	VERB	0	root
8	prvenství	NOUN	7	nsubj
9	Itala	PROPN	8	nmod
10	Reggianiho	PROPN	9	flat
11	(	PUNCT	9	punct
12	Aprilia	PROPN	9	dep
13	)	PUNCT	9	punct
14	ve	ADP	15	case
15	třídě	NOUN	8	nmod
16	500	NUM	15	nummod
17	ccm	NOUN	16	nmod
18	,	PUNCT	22	punct
19	až	PART	21	advmod:emph
20	další	ADJ	21	amod
21	příčky	NOUN	22	obj
22	obsadili	VERB	7	conj
23	jeho	DET	24	det
24	krajan	NOUN	22	nsubj
25	Cadalora	PROPN	24	flat
26	a	CCONJ	27	cc
27	Japonec	PROPN	24	conj
28	Abe	PROPN	27	flat
29	v	ADP	30	case
30	sedlech	NOUN	24	nmod
31	strojů	NOUN	30	nmod
32	Yamaha	PROPN	31	nmod
33	.	PUNCT	7	punct