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:
Středeční 525 km dlouhou etapu rallye Paříž-Peking s cílem v čínském Wuwei vyhrál Japonec Shinozuka (Mitshubishi Pajero) před Citroeny ZX s Walldegaardem a Auriolem.
Postion	Tokenization
1	Středeční
2	525
3	km
4	dlouhou
5	etapu
6	rallye
7	Paříž
8	-
9	Peking
10	s
11	cílem
12	v
13	čínském
14	Wuwei
15	vyhrál
16	Japonec
17	Shinozuka
18	(
19	Mitshubishi
20	Pajero
21	)
22	před
23	Citroeny
24	ZX
25	s
26	Walldegaardem
27	a
28	Auriolem
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Středeční	ADJ	5	amod
2	525	NUM	4	obl
3	km	NOUN	2	nmod
4	dlouhou	ADJ	5	amod
5	etapu	NOUN	15	obj
6	rallye	NOUN	5	nmod
7	Paříž	PROPN	6	nmod
8	-	PUNCT	9	punct
9	Peking	PROPN	7	nmod
10	s	ADP	11	case
11	cílem	NOUN	5	nmod
12	v	ADP	14	case
13	čínském	ADJ	14	amod
14	Wuwei	PROPN	11	nmod
15	vyhrál	VERB	0	root
16	Japonec	PROPN	15	nsubj
17	Shinozuka	PROPN	16	flat
18	(	PUNCT	16	punct
19	Mitshubishi	PROPN	16	dep
20	Pajero	PROPN	19	nmod
21	)	PUNCT	16	punct
22	před	ADP	23	case
23	Citroeny	PROPN	15	obl
24	ZX	PROPN	23	nmod
25	s	ADP	26	case
26	Walldegaardem	PROPN	23	nmod
27	a	CCONJ	28	cc
28	Auriolem	PROPN	26	conj
29	.	PUNCT	15	punct