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 text: Šestinásobný olympijský vítěz v drezuře Rainer Klimke z Německa se stane poradcem berlínského přípravného olympijského výboru, jehož úkolem je prosadit pořádání OH v roce 2000 v německé metropoli.
Position	Tokenization	UPOS	Head	Deprel
1	Šestinásobný	ADJ	3	amod
2	olympijský	ADJ	3	amod
3	vítěz	NOUN	11	nsubj
4	v	ADP	5	case
5	drezuře	NOUN	3	nmod
6	Rainer	PROPN	3	flat
7	Klimke	PROPN	3	flat
8	z	ADP	9	case
9	Německa	PROPN	3	nmod
10	se	PRON	11	expl:pv
11	stane	VERB	0	root
12	poradcem	NOUN	11	obl:arg
13	berlínského	ADJ	16	amod
14	přípravného	ADJ	16	amod
15	olympijského	ADJ	16	amod
16	výboru	NOUN	12	nmod
17	,	PUNCT	19	punct
18	jehož	DET	19	det
19	úkolem	NOUN	16	acl:relcl
20	je	AUX	19	cop
21	prosadit	VERB	19	csubj
22	pořádání	NOUN	21	obj
23	OH	NOUN	22	nmod
24	v	ADP	25	case
25	roce	NOUN	23	nmod
26	2000	NUM	25	nummod
27	v	ADP	29	case
28	německé	ADJ	29	amod
29	metropoli	NOUN	22	nmod
30	.	PUNCT	11	punct