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:
Spočítat si daně a zorientovat se v současném právním systému - kdepak, to už se lidé jako já nebo ještě starší, nikdy nenaučí, prohlašuje Joachim.
Postion	Tokenization
1	Spočítat
2	si
3	daně
4	a
5	zorientovat
6	se
7	v
8	současném
9	právním
10	systému
11	-
12	kdepak
13	,
14	to
15	už
16	se
17	lidé
18	jako
19	já
20	nebo
21	ještě
22	starší
23	,
24	nikdy
25	nenaučí
26	,
27	prohlašuje
28	Joachim
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Spočítat	VERB	27	xcomp
2	si	PRON	1	obl
3	daně	NOUN	1	obj
4	a	CCONJ	5	cc
5	zorientovat	VERB	1	conj
6	se	PRON	5	expl:pv
7	v	ADP	10	case
8	současném	ADJ	10	amod
9	právním	ADJ	10	amod
10	systému	NOUN	5	obl
11	-	PUNCT	25	punct
12	kdepak	ADV	25	dep
13	,	PUNCT	25	punct
14	to	DET	25	obj
15	už	ADV	25	advmod
16	se	PRON	25	expl:pv
17	lidé	NOUN	25	nsubj
18	jako	SCONJ	19	mark
19	já	PRON	17	appos
20	nebo	CCONJ	22	cc
21	ještě	ADV	22	advmod:emph
22	starší	ADJ	19	conj
23	,	PUNCT	25	punct
24	nikdy	ADV	25	advmod
25	nenaučí	VERB	1	conj
26	,	PUNCT	1	punct
27	prohlašuje	VERB	0	root
28	Joachim	PROPN	27	nsubj
29	.	PUNCT	27	punct