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: Dramaturgie letošního Berlinale jako by znala zákony dramatu: po slabší expozici, nevydařené zápletce s Robertem Redfordem (slíbil a nepřijel) a před dnešním rozuzlením v podobě rozdělování cen, zahustila závěrečné dějství přehlídky hned několika vrcholnými čísly.
Position	Tokenization	UPOS	Head	Deprel
1	Dramaturgie	NOUN	0	root
2	letošního	ADJ	3	amod
3	Berlinale	PROPN	1	nmod
4	jako	SCONJ	6	mark
5	by	AUX	6	aux
6	znala	VERB	1	conj
7	zákony	NOUN	6	obj
8	dramatu	NOUN	7	nmod
9	:	PUNCT	33	punct
10	po	ADP	12	case
11	slabší	ADJ	12	amod
12	expozici	NOUN	27	obl
13	,	PUNCT	15	punct
14	nevydařené	ADJ	15	amod
15	zápletce	NOUN	12	conj
16	s	ADP	17	case
17	Robertem	PROPN	15	nmod
18	Redfordem	PROPN	17	flat
19	(	PUNCT	20	punct
20	slíbil	VERB	17	dep
21	a	CCONJ	22	cc
22	nepřijel	VERB	20	conj
23	)	PUNCT	20	punct
24	a	CCONJ	27	cc
25	před	ADP	27	case
26	dnešním	ADJ	27	amod
27	rozuzlením	NOUN	33	obl
28	v	ADP	30	case
29	podobě	NOUN	28	fixed
30	rozdělování	NOUN	27	nmod
31	cen	NOUN	30	nmod
32	,	PUNCT	27	punct
33	zahustila	VERB	1	conj
34	závěrečné	ADJ	35	amod
35	dějství	NOUN	33	obj
36	přehlídky	NOUN	35	nmod
37	hned	ADV	40	advmod:emph
38	několika	DET	40	det:nummod
39	vrcholnými	ADJ	40	amod
40	čísly	NOUN	33	obl
41	.	PUNCT	1	punct