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:
Její program tvoří tři inscenace kmenové režisérky divadla Evy Tálské, která převedla do scénické podoby díla trojice "králů" nonsensu.
Postion	Tokenization
1	Její
2	program
3	tvoří
4	tři
5	inscenace
6	kmenové
7	režisérky
8	divadla
9	Evy
10	Tálské
11	,
12	která
13	převedla
14	do
15	scénické
16	podoby
17	díla
18	trojice
19	"
20	králů
21	"
22	nonsensu
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Její	DET	2	det
2	program	NOUN	3	obj
3	tvoří	VERB	0	root
4	tři	NUM	5	nummod
5	inscenace	NOUN	3	nsubj
6	kmenové	ADJ	7	amod
7	režisérky	NOUN	5	nmod
8	divadla	NOUN	7	nmod
9	Evy	PROPN	7	flat
10	Tálské	PROPN	7	flat
11	,	PUNCT	13	punct
12	která	DET	13	nsubj
13	převedla	VERB	7	acl:relcl
14	do	ADP	16	case
15	scénické	ADJ	16	amod
16	podoby	NOUN	13	obl
17	díla	NOUN	16	nmod
18	trojice	NOUN	13	obl:arg
19	"	PUNCT	20	punct
20	králů	NOUN	18	nmod
21	"	PUNCT	20	punct
22	nonsensu	NOUN	20	nmod
23	.	PUNCT	3	punct