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:
Nekorunovaný princ severské kinematografie, dánský režisér Lars von Trier (autor proslulého podobenství Evropa) předvedl na berlínském trhu svůj nový ohromující projekt Království (The Kingdom - zatím jde o čtyřdílný televizní seriál, jehož verze pro kina čítá dva dvouapůlhodinové díly).
Postion	Tokenization
1	Nekorunovaný
2	princ
3	severské
4	kinematografie
5	,
6	dánský
7	režisér
8	Lars
9	von
10	Trier
11	(
12	autor
13	proslulého
14	podobenství
15	Evropa
16	)
17	předvedl
18	na
19	berlínském
20	trhu
21	svůj
22	nový
23	ohromující
24	projekt
25	Království
26	(
27	The
28	Kingdom
29	-
30	zatím
31	jde
32	o
33	čtyřdílný
34	televizní
35	seriál
36	,
37	jehož
38	verze
39	pro
40	kina
41	čítá
42	dva
43	dvouapůlhodinové
44	díly
45	)
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Nekorunovaný	ADJ	2	amod
2	princ	NOUN	17	nsubj
3	severské	ADJ	4	amod
4	kinematografie	NOUN	2	nmod
5	,	PUNCT	9	punct
6	dánský	ADJ	7	amod
7	režisér	NOUN	9	nmod
8	Lars	PROPN	9	nmod
9	von	ADP	2	appos
10	Trier	PROPN	9	flat:foreign
11	(	PUNCT	12	punct
12	autor	NOUN	9	appos
13	proslulého	ADJ	14	amod
14	podobenství	NOUN	12	nmod
15	Evropa	PROPN	14	nmod
16	)	PUNCT	12	punct
17	předvedl	VERB	0	root
18	na	ADP	20	case
19	berlínském	ADJ	20	amod
20	trhu	NOUN	17	obl
21	svůj	DET	24	det
22	nový	ADJ	24	amod
23	ohromující	ADJ	24	amod
24	projekt	NOUN	17	obj
25	Království	NOUN	24	nmod
26	(	PUNCT	27	punct
27	The	ADJ	25	appos
28	Kingdom	NOUN	27	flat:foreign
29	-	PUNCT	31	punct
30	zatím	ADV	31	advmod
31	jde	VERB	27	parataxis
32	o	ADP	35	case
33	čtyřdílný	ADJ	35	amod
34	televizní	ADJ	35	amod
35	seriál	NOUN	31	obl:arg
36	,	PUNCT	41	punct
37	jehož	DET	38	det
38	verze	NOUN	41	nsubj
39	pro	ADP	40	case
40	kina	NOUN	38	nmod
41	čítá	VERB	35	acl:relcl
42	dva	NUM	44	nummod
43	dvouapůlhodinové	NOUN	44	nmod
44	díly	NOUN	41	obj
45	)	PUNCT	27	punct
46	.	PUNCT	17	punct