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:
Argumenty, používané zastánci tohoto pro dodavatele vždy výhodnějšího systému, a operující s výhodností a bezstarostností ve vztahu ke stavebníkovi jsou v tomto zavádějící.
Postion	Tokenization
1	Argumenty
2	,
3	používané
4	zastánci
5	tohoto
6	pro
7	dodavatele
8	vždy
9	výhodnějšího
10	systému
11	,
12	a
13	operující
14	s
15	výhodností
16	a
17	bezstarostností
18	ve
19	vztahu
20	ke
21	stavebníkovi
22	jsou
23	v
24	tomto
25	zavádějící
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Argumenty	NOUN	25	nsubj
2	,	PUNCT	3	punct
3	používané	ADJ	1	amod
4	zastánci	NOUN	3	obl:arg
5	tohoto	DET	10	det
6	pro	ADP	7	case
7	dodavatele	NOUN	9	obl
8	vždy	ADV	9	advmod
9	výhodnějšího	ADJ	10	amod
10	systému	NOUN	4	nmod
11	,	PUNCT	13	punct
12	a	CCONJ	13	cc
13	operující	ADJ	3	conj
14	s	ADP	15	case
15	výhodností	NOUN	13	obl:arg
16	a	CCONJ	17	cc
17	bezstarostností	NOUN	15	conj
18	ve	ADP	21	case
19	vztahu	NOUN	18	fixed
20	ke	ADP	18	fixed
21	stavebníkovi	NOUN	15	nmod
22	jsou	AUX	25	cop
23	v	ADP	24	case
24	tomto	DET	25	obl
25	zavádějící	ADJ	0	root
26	.	PUNCT	25	punct