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:
Další z rakouských poradenských firem - Catro - uváděla cenu u manažera 25 % z jeho ročního hrubého příjmu, pokud byl nalezen pomocí inzerátu, 30 % při přímém vyhledání.
Postion	Tokenization
1	Další
2	z
3	rakouských
4	poradenských
5	firem
6	-
7	Catro
8	-
9	uváděla
10	cenu
11	u
12	manažera
13	25
14	%
15	z
16	jeho
17	ročního
18	hrubého
19	příjmu
20	,
21	pokud
22	byl
23	nalezen
24	pomocí
25	inzerátu
26	_
27	,
28	30
29	%
30	při
31	přímém
32	vyhledání
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Další	ADJ	9	nsubj
2	z	ADP	5	case
3	rakouských	ADJ	5	amod
4	poradenských	ADJ	5	amod
5	firem	NOUN	1	nmod
6	-	PUNCT	7	punct
7	Catro	PROPN	1	appos
8	-	PUNCT	7	punct
9	uváděla	VERB	0	root
10	cenu	NOUN	9	obj
11	u	ADP	12	case
12	manažera	NOUN	10	nmod
13	25	NUM	10	nummod
14	%	SYM	13	nmod
15	z	ADP	19	case
16	jeho	DET	19	det
17	ročního	ADJ	19	amod
18	hrubého	ADJ	19	amod
19	příjmu	NOUN	14	nmod
20	,	PUNCT	23	punct
21	pokud	SCONJ	23	mark
22	byl	AUX	23	aux:pass
23	nalezen	ADJ	9	obl
24	pomocí	ADP	25	case
25	inzerátu	NOUN	23	obl:arg
26	_	_	None	_
27	,	PUNCT	27	punct
28	30	NUM	9	conj
29	%	SYM	27	nmod
30	při	ADP	31	case
31	přímém	ADJ	31	amod
32	vyhledání	NOUN	27	orphan
33	.	PUNCT	9	punct