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:
Ústřední postavou volební kampaně nejsilnější strany Německa, Křesťanskodemokratické unie (CDU), bude kancléř Helmut Kohl, který v říjnových parlamentních volbách usiluje už počtvrté o vítězství.
Postion	Tokenization
1	Ústřední
2	postavou
3	volební
4	kampaně
5	nejsilnější
6	strany
7	Německa
8	,
9	Křesťanskodemokratické
10	unie
11	(
12	CDU
13	)
14	,
15	bude
16	kancléř
17	Helmut
18	Kohl
19	,
20	který
21	v
22	říjnových
23	parlamentních
24	volbách
25	usiluje
26	už
27	počtvrté
28	o
29	vítězství
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ústřední	ADJ	2	amod
2	postavou	NOUN	0	root
3	volební	ADJ	4	amod
4	kampaně	NOUN	2	nmod
5	nejsilnější	ADJ	6	amod
6	strany	NOUN	4	nmod
7	Německa	PROPN	6	nmod
8	,	PUNCT	10	punct
9	Křesťanskodemokratické	ADJ	10	amod
10	unie	NOUN	6	appos
11	(	PUNCT	12	punct
12	CDU	PROPN	10	appos
13	)	PUNCT	12	punct
14	,	PUNCT	10	punct
15	bude	AUX	2	cop
16	kancléř	NOUN	2	nsubj
17	Helmut	PROPN	16	flat
18	Kohl	PROPN	16	flat
19	,	PUNCT	25	punct
20	který	DET	25	nsubj
21	v	ADP	24	case
22	říjnových	ADJ	24	amod
23	parlamentních	ADJ	24	amod
24	volbách	NOUN	25	obl
25	usiluje	VERB	16	acl:relcl
26	už	ADV	27	advmod:emph
27	počtvrté	ADV	25	obl
28	o	ADP	29	case
29	vítězství	NOUN	25	obl:arg
30	.	PUNCT	2	punct