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 28. ročníku soutěže filmových amatérů Střekovská kamera, která proběhla v sobotu v Ústí nad Labem, získal první cenu Bohumil Kheil z Prahy.
Postion	Tokenization
1	Na
2	28
3	.
4	ročníku
5	soutěže
6	filmových
7	amatérů
8	Střekovská
9	kamera
10	,
11	která
12	proběhla
13	v
14	sobotu
15	v
16	Ústí
17	nad
18	Labem
19	,
20	získal
21	první
22	cenu
23	Bohumil
24	Kheil
25	z
26	Prahy
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	4	case
2	28	NUM	4	nummod
3	.	PUNCT	2	punct
4	ročníku	NOUN	20	obl
5	soutěže	NOUN	4	nmod
6	filmových	ADJ	7	amod
7	amatérů	NOUN	5	nmod
8	Střekovská	ADJ	9	amod
9	kamera	NOUN	5	nmod
10	,	PUNCT	12	punct
11	která	DET	12	nsubj
12	proběhla	VERB	5	acl:relcl
13	v	ADP	14	case
14	sobotu	NOUN	12	obl
15	v	ADP	16	case
16	Ústí	PROPN	12	obl
17	nad	ADP	18	case
18	Labem	PROPN	16	nmod
19	,	PUNCT	12	punct
20	získal	VERB	0	root
21	první	ADJ	22	amod
22	cenu	NOUN	20	obj
23	Bohumil	PROPN	20	nsubj
24	Kheil	PROPN	23	flat
25	z	ADP	26	case
26	Prahy	PROPN	23	nmod
27	.	PUNCT	20	punct