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:
Od začátku loňské sezóny se Petr Lébl stal uměleckým šéfem Divadla Na zábradlí, když zvítězil v konkursu, vyhlášeném po smrti režiséra a ředitele Zábradlí Jana Grossmana.
Postion	Tokenization
1	Od
2	začátku
3	loňské
4	sezóny
5	se
6	Petr
7	Lébl
8	stal
9	uměleckým
10	šéfem
11	Divadla
12	Na
13	zábradlí
14	,
15	když
16	zvítězil
17	v
18	konkursu
19	,
20	vyhlášeném
21	po
22	smrti
23	režiséra
24	a
25	ředitele
26	Zábradlí
27	Jana
28	Grossmana
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Od	ADP	2	case
2	začátku	NOUN	8	obl
3	loňské	ADJ	4	amod
4	sezóny	NOUN	2	nmod
5	se	PRON	8	expl:pv
6	Petr	PROPN	8	nsubj
7	Lébl	PROPN	6	flat
8	stal	VERB	0	root
9	uměleckým	ADJ	10	amod
10	šéfem	NOUN	8	obl:arg
11	Divadla	NOUN	10	nmod
12	Na	ADP	13	case
13	zábradlí	NOUN	11	nmod
14	,	PUNCT	16	punct
15	když	SCONJ	16	mark
16	zvítězil	VERB	8	advcl
17	v	ADP	18	case
18	konkursu	NOUN	16	obl
19	,	PUNCT	20	punct
20	vyhlášeném	ADJ	18	amod
21	po	ADP	22	case
22	smrti	NOUN	20	obl
23	režiséra	NOUN	27	nmod
24	a	CCONJ	25	cc
25	ředitele	NOUN	23	conj
26	Zábradlí	NOUN	23	nmod
27	Jana	PROPN	22	nmod
28	Grossmana	PROPN	27	flat
29	.	PUNCT	8	punct