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: Zlatého medvěda za nejlepší celovečerní film získal francouzský snímek Volavka (L'appat) režiséra Bertranda Taverniera - drsný příběh o ztracené mladé generaci, která si k realizaci svých snů musí dopomáhat zločiny.
Position	Tokenization	UPOS	Head	Deprel
1	Zlatého	ADJ	2	amod
2	medvěda	NOUN	7	obj
3	za	ADP	6	case
4	nejlepší	ADJ	6	amod
5	celovečerní	ADJ	6	amod
6	film	NOUN	7	obl:arg
7	získal	VERB	0	root
8	francouzský	ADJ	9	amod
9	snímek	NOUN	7	nsubj
10	Volavka	NOUN	9	nmod
11	(	PUNCT	14	punct
12	L	ADJ	14	amod
13	'	PUNCT	12	punct
14	appat	NOUN	10	appos
15	)	PUNCT	14	punct
16	režiséra	NOUN	9	nmod
17	Bertranda	PROPN	16	flat
18	Taverniera	PROPN	16	flat
19	-	PUNCT	21	punct
20	drsný	ADJ	21	amod
21	příběh	NOUN	9	appos
22	o	ADP	25	case
23	ztracené	ADJ	25	amod
24	mladé	ADJ	25	amod
25	generaci	NOUN	21	nmod
26	,	PUNCT	33	punct
27	která	DET	33	nsubj
28	si	PRON	34	obl:arg
29	k	ADP	30	case
30	realizaci	NOUN	34	obl
31	svých	DET	32	det
32	snů	NOUN	30	nmod
33	musí	VERB	25	acl:relcl
34	dopomáhat	VERB	33	xcomp
35	zločiny	NOUN	34	obl
36	.	PUNCT	7	punct