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:
Ve věznicích však nadarmo tráví čas i vysoce kvalifikovaní lidé, kteří by mohli sobě i svému zaměstnavateli vydělat hodně peněz - a nepotřebují víc než tužku a papír plus přísun informací.
Postion	Tokenization
1	Ve
2	věznicích
3	však
4	nadarmo
5	tráví
6	čas
7	i
8	vysoce
9	kvalifikovaní
10	lidé
11	,
12	kteří
13	by
14	mohli
15	sobě
16	i
17	svému
18	zaměstnavateli
19	vydělat
20	hodně
21	peněz
22	-
23	a
24	nepotřebují
25	víc
26	než
27	tužku
28	a
29	papír
30	plus
31	přísun
32	informací
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	2	case
2	věznicích	NOUN	5	obl
3	však	CCONJ	5	cc
4	nadarmo	ADV	5	advmod
5	tráví	VERB	0	root
6	čas	NOUN	5	obj
7	i	CCONJ	10	advmod:emph
8	vysoce	ADV	9	advmod
9	kvalifikovaní	ADJ	10	amod
10	lidé	NOUN	5	nsubj
11	,	PUNCT	14	punct
12	kteří	DET	14	nsubj
13	by	AUX	14	aux
14	mohli	VERB	10	acl:relcl
15	sobě	PRON	19	obl:arg
16	i	CCONJ	18	cc
17	svému	DET	18	det
18	zaměstnavateli	NOUN	15	conj
19	vydělat	VERB	14	xcomp
20	hodně	ADV	19	obj
21	peněz	NOUN	20	nmod
22	-	PUNCT	24	punct
23	a	CCONJ	24	cc
24	nepotřebují	VERB	14	conj
25	víc	ADV	24	obj
26	než	SCONJ	27	mark
27	tužku	NOUN	25	dep
28	a	CCONJ	29	cc
29	papír	NOUN	27	conj
30	plus	CCONJ	31	cc
31	přísun	NOUN	27	conj
32	informací	NOUN	31	nmod
33	.	PUNCT	5	punct