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:
V praxi to ovšem znamená, že málokterý z filmů, které byly v první půli festivalu předvedeny, by obstál před zraky výběrové komise Cannes nebo Benátek.
Postion	Tokenization
1	V
2	praxi
3	to
4	ovšem
5	znamená
6	,
7	že
8	málokterý
9	z
10	filmů
11	,
12	které
13	byly
14	v
15	první
16	půli
17	festivalu
18	předvedeny
19	,
20	by
21	obstál
22	před
23	zraky
24	výběrové
25	komise
26	Cannes
27	nebo
28	Benátek
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	praxi	NOUN	5	obl
3	to	DET	5	nsubj
4	ovšem	CCONJ	5	cc
5	znamená	VERB	0	root
6	,	PUNCT	21	punct
7	že	SCONJ	21	mark
8	málokterý	DET	21	nsubj
9	z	ADP	10	case
10	filmů	NOUN	8	nmod
11	,	PUNCT	18	punct
12	které	DET	18	nsubj:pass
13	byly	AUX	18	aux:pass
14	v	ADP	16	case
15	první	ADJ	16	amod
16	půli	NOUN	18	obl
17	festivalu	NOUN	16	nmod
18	předvedeny	ADJ	10	amod
19	,	PUNCT	18	punct
20	by	AUX	21	aux
21	obstál	VERB	5	ccomp
22	před	ADP	23	case
23	zraky	NOUN	21	obl
24	výběrové	ADJ	25	amod
25	komise	NOUN	23	nmod
26	Cannes	PROPN	25	nmod
27	nebo	CCONJ	28	cc
28	Benátek	PROPN	26	conj
29	.	PUNCT	5	punct