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:
Na vzniku inscenace se vedle International Institut de la marionnette z Charleville Meziéres podílela pražská DAMU, a především Mezinárodní institut figurativního divadla při divadle Drak z Hradce Králové.
Postion	Tokenization
1	Na
2	vzniku
3	inscenace
4	se
5	vedle
6	International
7	Institut
8	de
9	la
10	marionnette
11	z
12	Charleville
13	Meziéres
14	podílela
15	pražská
16	DAMU
17	,
18	a
19	především
20	Mezinárodní
21	institut
22	figurativního
23	divadla
24	při
25	divadle
26	Drak
27	z
28	Hradce
29	Králové
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	vzniku	NOUN	14	obl:arg
3	inscenace	NOUN	2	nmod
4	se	PRON	14	expl:pv
5	vedle	ADP	6	case
6	International	PROPN	14	obl
7	Institut	PROPN	6	flat:foreign
8	de	ADP	6	flat:foreign
9	la	ADJ	6	flat:foreign
10	marionnette	PROPN	6	flat:foreign
11	z	ADP	13	case
12	Charleville	PROPN	13	nmod
13	Meziéres	PROPN	6	nmod
14	podílela	VERB	0	root
15	pražská	ADJ	16	amod
16	DAMU	PROPN	14	nsubj
17	,	PUNCT	21	punct
18	a	CCONJ	21	cc
19	především	ADV	21	advmod:emph
20	Mezinárodní	ADJ	21	amod
21	institut	NOUN	16	conj
22	figurativního	ADJ	23	amod
23	divadla	NOUN	21	nmod
24	při	ADP	25	case
25	divadle	NOUN	21	nmod
26	Drak	NOUN	25	nmod
27	z	ADP	28	case
28	Hradce	PROPN	25	nmod
29	Králové	PROPN	28	nmod
30	.	PUNCT	14	punct