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:
Nový ministr školství Petr Piťha zatím pokračuje v jeho šlépějích - diskutované zvýšení úvazků ještě nebylo odsouhlaseno, ale již se podle něj sestavují rozvrhy.
Postion	Tokenization
1	Nový
2	ministr
3	školství
4	Petr
5	Piťha
6	zatím
7	pokračuje
8	v
9	jeho
10	šlépějích
11	-
12	diskutované
13	zvýšení
14	úvazků
15	ještě
16	nebylo
17	odsouhlaseno
18	,
19	ale
20	již
21	se
22	podle
23	něj
24	sestavují
25	rozvrhy
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Nový	ADJ	2	amod
2	ministr	NOUN	7	nsubj
3	školství	NOUN	2	nmod
4	Petr	PROPN	2	flat
5	Piťha	PROPN	2	flat
6	zatím	ADV	7	advmod
7	pokračuje	VERB	0	root
8	v	ADP	10	case
9	jeho	DET	10	det
10	šlépějích	NOUN	7	obl:arg
11	-	PUNCT	17	punct
12	diskutované	ADJ	13	amod
13	zvýšení	NOUN	17	nsubj:pass
14	úvazků	NOUN	13	nmod
15	ještě	ADV	17	advmod
16	nebylo	AUX	17	aux:pass
17	odsouhlaseno	ADJ	7	conj
18	,	PUNCT	24	punct
19	ale	CCONJ	24	cc
20	již	ADV	24	advmod
21	se	PRON	24	expl:pass
22	podle	ADP	23	case
23	něj	PRON	24	obl
24	sestavují	VERB	17	conj
25	rozvrhy	NOUN	24	nsubj:pass
26	.	PUNCT	7	punct