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: Chabrol ve svých nejlepších filmech portrétoval nižší střední vrstvy, prostředí úředníků, bohémů nebo prodavaček, upozorňoval na bezcitnost a cynismus jako životní program, na sklon využívat důvěřivosti či dokonce neštěstí bližních ke svému prospěchu.
Position	Tokenization	UPOS	Head	Deprel
1	Chabrol	PROPN	6	nsubj
2	ve	ADP	5	case
3	svých	DET	5	det
4	nejlepších	ADJ	5	amod
5	filmech	NOUN	6	obl
6	portrétoval	VERB	0	root
7	nižší	ADJ	9	amod
8	střední	ADJ	9	amod
9	vrstvy	NOUN	6	obj
10	,	PUNCT	11	punct
11	prostředí	NOUN	9	appos
12	úředníků	NOUN	11	nmod
13	,	PUNCT	14	punct
14	bohémů	NOUN	12	conj
15	nebo	CCONJ	16	cc
16	prodavaček	NOUN	12	conj
17	,	PUNCT	18	punct
18	upozorňoval	VERB	6	conj
19	na	ADP	20	case
20	bezcitnost	NOUN	18	obl:arg
21	a	CCONJ	22	cc
22	cynismus	NOUN	20	conj
23	jako	SCONJ	25	mark
24	životní	ADJ	25	amod
25	program	NOUN	20	xcomp
26	,	PUNCT	28	punct
27	na	ADP	28	case
28	sklon	NOUN	20	conj
29	využívat	VERB	28	acl
30	důvěřivosti	NOUN	29	obl:arg
31	či	CCONJ	33	cc
32	dokonce	ADV	33	advmod:emph
33	neštěstí	NOUN	30	conj
34	bližních	ADJ	30	amod
35	ke	ADP	37	case
36	svému	DET	37	det
37	prospěchu	NOUN	29	obl
38	.	PUNCT	6	punct