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 text: Právě jsem se vrátila z 18. mezinárodního festivalu dětských filmů ve Frankfurtu nad Mohanem, odkud jsem přivezla za svůj snímek Čarodějky z předměstí dvě ocenění - hlavní cenu a cenu FIJEC, což je mezinárodní organizace pro dětský film.
Position	Tokenization	UPOS	Head	Deprel
1	Právě	ADV	4	advmod
2	jsem	AUX	4	aux
3	se	PRON	4	expl:pv
4	vrátila	VERB	0	root
5	z	ADP	9	case
6	18	NUM	9	nummod
7	.	PUNCT	6	punct
8	mezinárodního	ADJ	9	amod
9	festivalu	NOUN	4	obl
10	dětských	ADJ	11	amod
11	filmů	NOUN	9	nmod
12	ve	ADP	13	case
13	Frankfurtu	PROPN	9	nmod
14	nad	ADP	15	case
15	Mohanem	PROPN	13	nmod
16	,	PUNCT	19	punct
17	odkud	ADV	19	advmod
18	jsem	AUX	19	aux
19	přivezla	VERB	9	acl:relcl
20	za	ADP	22	case
21	svůj	DET	22	det
22	snímek	NOUN	19	obl
23	Čarodějky	NOUN	22	nmod
24	z	ADP	25	case
25	předměstí	NOUN	23	nmod
26	dvě	NUM	27	nummod
27	ocenění	NOUN	19	obj
28	-	PUNCT	30	punct
29	hlavní	ADJ	30	amod
30	cenu	NOUN	27	appos
31	a	CCONJ	32	cc
32	cenu	NOUN	30	conj
33	FIJEC	PROPN	32	nmod
34	,	PUNCT	38	punct
35	což	PRON	38	nsubj
36	je	AUX	38	cop
37	mezinárodní	ADJ	38	amod
38	organizace	NOUN	33	acl:relcl
39	pro	ADP	41	case
40	dětský	ADJ	41	amod
41	film	NOUN	38	nmod
42	.	PUNCT	4	punct