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:
Stínový kabinet, který by převzal moc v případě vítězství SPD v říjnových parlamentních volbách, včera představil šéf německých sociálních demokratů (SPD) Rudolf Scharping.
Postion	Tokenization
1	Stínový
2	kabinet
3	,
4	který
5	by
6	převzal
7	moc
8	v
9	případě
10	vítězství
11	SPD
12	v
13	říjnových
14	parlamentních
15	volbách
16	,
17	včera
18	představil
19	šéf
20	německých
21	sociálních
22	demokratů
23	(
24	SPD
25	)
26	Rudolf
27	Scharping
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Stínový	ADJ	2	amod
2	kabinet	NOUN	18	obj
3	,	PUNCT	6	punct
4	který	DET	6	nsubj
5	by	AUX	6	aux
6	převzal	VERB	2	acl:relcl
7	moc	NOUN	6	obj
8	v	ADP	10	case
9	případě	NOUN	8	fixed
10	vítězství	NOUN	6	obl
11	SPD	PROPN	10	nmod
12	v	ADP	15	case
13	říjnových	ADJ	15	amod
14	parlamentních	ADJ	15	amod
15	volbách	NOUN	10	nmod
16	,	PUNCT	18	punct
17	včera	ADV	18	advmod
18	představil	VERB	0	root
19	šéf	NOUN	18	nsubj
20	německých	ADJ	22	amod
21	sociálních	ADJ	22	amod
22	demokratů	NOUN	19	nmod
23	(	PUNCT	24	punct
24	SPD	PROPN	22	appos
25	)	PUNCT	24	punct
26	Rudolf	PROPN	19	flat
27	Scharping	PROPN	19	flat
28	.	PUNCT	18	punct