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:
Generální ředitelství má zájem, aby se pracovní vytíženost odsouzených zvýšila alespoň na šedesát procent, jak je to obvyklé v demokratických zemích.
Postion	Tokenization
1	Generální
2	ředitelství
3	má
4	zájem
5	,
6	aby
7	aby
8	by
9	se
10	pracovní
11	vytíženost
12	odsouzených
13	zvýšila
14	alespoň
15	na
16	šedesát
17	procent
18	,
19	jak
20	je
21	to
22	obvyklé
23	v
24	demokratických
25	zemích
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Generální	ADJ	2	amod
2	ředitelství	NOUN	3	nsubj
3	má	VERB	0	root
4	zájem	NOUN	3	obj
5	,	PUNCT	12	punct
6	aby	_	None	_
7	aby	SCONJ	12	mark
8	by	AUX	12	aux
9	se	PRON	12	expl:pass
10	pracovní	ADJ	10	amod
11	vytíženost	NOUN	12	nsubj:pass
12	odsouzených	ADJ	10	dep
13	zvýšila	VERB	4	acl
14	alespoň	ADV	15	advmod:emph
15	na	ADP	16	case
16	šedesát	NUM	16	nummod:gov
17	procent	NOUN	12	obl:arg
18	,	PUNCT	21	punct
19	jak	ADV	21	mark
20	je	AUX	21	cop
21	to	DET	21	nsubj
22	obvyklé	ADJ	12	advcl
23	v	ADP	24	case
24	demokratických	ADJ	24	amod
25	zemích	NOUN	21	obl
26	.	PUNCT	3	punct