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:
GEN čili Galerie Elity Národa, tak zní pracovní název ojedinělého projektu soukromého studia FEBIO, respektive jeho zakladatele a ředitele, známého režiséra FERO FENIČE.
Postion	Tokenization
1	GEN
2	čili
3	Galerie
4	Elity
5	Národa
6	,
7	tak
8	zní
9	pracovní
10	název
11	ojedinělého
12	projektu
13	soukromého
14	studia
15	FEBIO
16	,
17	respektive
18	jeho
19	zakladatele
20	a
21	ředitele
22	,
23	známého
24	režiséra
25	FERO
26	FENIČE
27	.
Position	Tokenization	UPOS	Head	Deprel
1	GEN	NOUN	8	obl
2	čili	CCONJ	3	cc
3	Galerie	NOUN	1	appos
4	Elity	NOUN	3	nmod
5	Národa	NOUN	4	nmod
6	,	PUNCT	3	punct
7	tak	ADV	8	advmod
8	zní	VERB	0	root
9	pracovní	ADJ	10	amod
10	název	NOUN	8	nsubj
11	ojedinělého	ADJ	12	amod
12	projektu	NOUN	10	nmod
13	soukromého	ADJ	14	amod
14	studia	NOUN	12	nmod
15	FEBIO	PROPN	14	nmod
16	,	PUNCT	19	punct
17	respektive	ADV	19	cc
18	jeho	DET	19	det
19	zakladatele	NOUN	14	appos
20	a	CCONJ	21	cc
21	ředitele	NOUN	19	conj
22	,	PUNCT	24	punct
23	známého	ADJ	24	amod
24	režiséra	NOUN	19	appos
25	FERO	PROPN	24	flat
26	FENIČE	PROPN	24	flat
27	.	PUNCT	8	punct