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:
Po letošních volbách do Evropského parlamentu, kdy ve východním Berlíně s nečekanou převahou zvítězila postkomunistická PDS, německý tisk prohlásil, že se tato propast ještě prohloubila.
Postion	Tokenization
1	Po
2	letošních
3	volbách
4	do
5	Evropského
6	parlamentu
7	,
8	kdy
9	ve
10	východním
11	Berlíně
12	s
13	nečekanou
14	převahou
15	zvítězila
16	postkomunistická
17	PDS
18	,
19	německý
20	tisk
21	prohlásil
22	,
23	že
24	se
25	tato
26	propast
27	ještě
28	prohloubila
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	3	case
2	letošních	ADJ	3	amod
3	volbách	NOUN	21	obl
4	do	ADP	6	case
5	Evropského	ADJ	6	amod
6	parlamentu	NOUN	3	nmod
7	,	PUNCT	15	punct
8	kdy	ADV	15	advmod
9	ve	ADP	11	case
10	východním	ADJ	11	amod
11	Berlíně	PROPN	15	obl
12	s	ADP	14	case
13	nečekanou	ADJ	14	amod
14	převahou	NOUN	15	obl
15	zvítězila	VERB	3	acl:relcl
16	postkomunistická	ADJ	17	amod
17	PDS	PROPN	15	nsubj
18	,	PUNCT	15	punct
19	německý	ADJ	20	amod
20	tisk	NOUN	21	nsubj
21	prohlásil	VERB	0	root
22	,	PUNCT	28	punct
23	že	SCONJ	28	mark
24	se	PRON	28	expl:pass
25	tato	DET	26	det
26	propast	NOUN	28	nsubj:pass
27	ještě	ADV	28	advmod
28	prohloubila	VERB	21	ccomp
29	.	PUNCT	21	punct