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:
Jedno z nejúspěšnějších představení v historii pražského Činoherního klubu nastudoval režisér Jiří Krejčík v roce 1965, filmovou verzi bláznivé komedie natočil o dva roky později.
Postion	Tokenization
1	Jedno
2	z
3	nejúspěšnějších
4	představení
5	v
6	historii
7	pražského
8	Činoherního
9	klubu
10	nastudoval
11	režisér
12	Jiří
13	Krejčík
14	v
15	roce
16	1965
17	,
18	filmovou
19	verzi
20	bláznivé
21	komedie
22	natočil
23	o
24	dva
25	roky
26	později
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jedno	NUM	10	obj
2	z	ADP	4	case
3	nejúspěšnějších	ADJ	4	amod
4	představení	NOUN	1	nmod
5	v	ADP	6	case
6	historii	NOUN	4	nmod
7	pražského	ADJ	9	amod
8	Činoherního	ADJ	9	amod
9	klubu	NOUN	6	nmod
10	nastudoval	VERB	0	root
11	režisér	NOUN	10	nsubj
12	Jiří	PROPN	11	flat
13	Krejčík	PROPN	11	flat
14	v	ADP	15	case
15	roce	NOUN	10	obl
16	1965	NUM	15	nummod
17	,	PUNCT	22	punct
18	filmovou	ADJ	19	amod
19	verzi	NOUN	22	obj
20	bláznivé	ADJ	21	amod
21	komedie	NOUN	19	nmod
22	natočil	VERB	10	conj
23	o	ADP	25	case
24	dva	NUM	25	nummod
25	roky	NOUN	26	obl
26	později	ADV	22	advmod
27	.	PUNCT	10	punct