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:
Ostrými verbálními útoky proti opozičním sociálním demokratům (SDP) včera zahájila německá vládní Křesťanskodemokratická unie (CDU) kancléře Helmuta Kohla v Dortmundu kampaň před říjnovými volbami.
Postion	Tokenization
1	Ostrými
2	verbálními
3	útoky
4	proti
5	opozičním
6	sociálním
7	demokratům
8	(
9	SDP
10	)
11	včera
12	zahájila
13	německá
14	vládní
15	Křesťanskodemokratická
16	unie
17	(
18	CDU
19	)
20	kancléře
21	Helmuta
22	Kohla
23	v
24	Dortmundu
25	kampaň
26	před
27	říjnovými
28	volbami
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ostrými	ADJ	3	amod
2	verbálními	ADJ	3	amod
3	útoky	NOUN	12	obl
4	proti	ADP	7	case
5	opozičním	ADJ	7	amod
6	sociálním	ADJ	7	amod
7	demokratům	NOUN	3	nmod
8	(	PUNCT	9	punct
9	SDP	PROPN	7	appos
10	)	PUNCT	9	punct
11	včera	ADV	12	advmod
12	zahájila	VERB	0	root
13	německá	ADJ	16	amod
14	vládní	ADJ	16	amod
15	Křesťanskodemokratická	ADJ	16	amod
16	unie	NOUN	12	nsubj
17	(	PUNCT	18	punct
18	CDU	PROPN	16	appos
19	)	PUNCT	18	punct
20	kancléře	NOUN	16	nmod
21	Helmuta	PROPN	20	flat
22	Kohla	PROPN	20	flat
23	v	ADP	24	case
24	Dortmundu	PROPN	12	obl
25	kampaň	NOUN	12	obj
26	před	ADP	28	case
27	říjnovými	ADJ	28	amod
28	volbami	NOUN	25	nmod
29	.	PUNCT	12	punct