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:
Svou režijní vizitku předkládá Jaroslav Gillar ve chvíli, kdy by měla proběhnout transformace Městských divadel pražských a on je jedním z horkých kandidátů na ředitelské křeslo staronové scény.
Postion	Tokenization
1	Svou
2	režijní
3	vizitku
4	předkládá
5	Jaroslav
6	Gillar
7	ve
8	chvíli
9	,
10	kdy
11	by
12	měla
13	proběhnout
14	transformace
15	Městských
16	divadel
17	pražských
18	a
19	on
20	je
21	jedním
22	z
23	horkých
24	kandidátů
25	na
26	ředitelské
27	křeslo
28	staronové
29	scény
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Svou	DET	3	det
2	režijní	ADJ	3	amod
3	vizitku	NOUN	4	obj
4	předkládá	VERB	0	root
5	Jaroslav	PROPN	4	nsubj
6	Gillar	PROPN	5	flat
7	ve	ADP	8	case
8	chvíli	NOUN	4	obl
9	,	PUNCT	12	punct
10	kdy	ADV	12	advmod
11	by	AUX	12	aux
12	měla	VERB	8	acl:relcl
13	proběhnout	VERB	12	xcomp
14	transformace	NOUN	12	nsubj
15	Městských	ADJ	16	amod
16	divadel	NOUN	14	nmod
17	pražských	ADJ	16	amod
18	a	CCONJ	21	cc
19	on	PRON	21	nsubj
20	je	AUX	21	cop
21	jedním	NUM	12	conj
22	z	ADP	24	case
23	horkých	ADJ	24	amod
24	kandidátů	NOUN	21	nmod
25	na	ADP	27	case
26	ředitelské	ADJ	27	amod
27	křeslo	NOUN	24	nmod
28	staronové	ADJ	29	amod
29	scény	NOUN	27	nmod
30	.	PUNCT	4	punct