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: Ve volbách 25. září bude strana obhajovat absolutní většinu v mnichovském zemském sněmu a 16. října pak společně s CDU kancléře Helmuta Kohla při volbách do Spolkového sněmu postavení nejsilnější politické formace v Německu.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	2	case
2	volbách	NOUN	8	obl
3	25	NUM	5	nummod
4	.	PUNCT	3	punct
5	září	NOUN	2	nmod
6	bude	AUX	8	aux
7	strana	NOUN	8	nsubj
8	obhajovat	VERB	0	root
9	absolutní	ADJ	10	amod
10	většinu	NOUN	8	obj
11	v	ADP	14	case
12	mnichovském	ADJ	14	amod
13	zemském	ADJ	14	amod
14	sněmu	NOUN	10	nmod
15	_	_	None	_
16	a	CCONJ	18	cc
17	16	NUM	18	nummod
18	.	PUNCT	16	punct
19	října	NOUN	8	conj
20	pak	ADV	18	orphan
21	společně	ADV	22	case
22	s	ADP	20	fixed
23	CDU	PROPN	18	orphan
24	kancléře	NOUN	22	nmod
25	Helmuta	PROPN	23	flat
26	Kohla	PROPN	23	flat
27	při	ADP	27	case
28	volbách	NOUN	18	orphan
29	do	ADP	30	case
30	Spolkového	ADJ	30	amod
31	sněmu	NOUN	27	nmod
32	postavení	NOUN	18	orphan
33	nejsilnější	ADJ	34	amod
34	politické	ADJ	34	amod
35	formace	NOUN	31	nmod
36	v	ADP	36	case
37	Německu	PROPN	32	obl
38	.	PUNCT	8	punct