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:
I přes omezený prostor nabízí paletu zážitků: promítají se zde ruské němé filmy nedávno objevené v archivech vedle dokumentárních autorských filmů Jakova Protazonova či Jevgenije Bauera.
Postion	Tokenization
1	I
2	přes
3	omezený
4	prostor
5	nabízí
6	paletu
7	zážitků
8	:
9	promítají
10	se
11	zde
12	ruské
13	němé
14	filmy
15	nedávno
16	objevené
17	v
18	archivech
19	vedle
20	dokumentárních
21	autorských
22	filmů
23	Jakova
24	Protazonova
25	či
26	Jevgenije
27	Bauera
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	CCONJ	4	advmod:emph
2	přes	ADP	4	case
3	omezený	ADJ	4	amod
4	prostor	NOUN	5	obl
5	nabízí	VERB	0	root
6	paletu	NOUN	5	obj
7	zážitků	NOUN	6	nmod
8	:	PUNCT	9	punct
9	promítají	VERB	5	conj
10	se	PRON	9	expl:pass
11	zde	ADV	9	advmod
12	ruské	ADJ	14	amod
13	němé	ADJ	14	amod
14	filmy	NOUN	9	nsubj:pass
15	nedávno	ADV	16	advmod
16	objevené	ADJ	14	amod
17	v	ADP	18	case
18	archivech	NOUN	16	obl
19	vedle	ADP	22	case
20	dokumentárních	ADJ	22	amod
21	autorských	ADJ	22	amod
22	filmů	NOUN	16	obl
23	Jakova	PROPN	22	nmod
24	Protazonova	PROPN	23	flat
25	či	CCONJ	26	cc
26	Jevgenije	PROPN	23	conj
27	Bauera	PROPN	26	flat
28	.	PUNCT	5	punct