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 text: Škola naopak argumentuje, že při schvalování projektu uvedla záměr každý rok přijmout jednu třídu tak, aby postupně nabídla 12letou docházku, takže by - stejně jako ostatní státní školy - měla od resortu místního úřadu získat prostory pro své žáky.
Position	Tokenization	UPOS	Head	Deprel
1	Škola	NOUN	3	nsubj
2	naopak	ADV	3	advmod
3	argumentuje	VERB	0	root
4	,	PUNCT	9	punct
5	že	SCONJ	9	mark
6	při	ADP	7	case
7	schvalování	NOUN	9	obl
8	projektu	NOUN	7	nmod
9	uvedla	VERB	3	ccomp
10	záměr	NOUN	9	obj
11	každý	DET	12	det
12	rok	NOUN	13	obl
13	přijmout	VERB	10	acl
14	jednu	NUM	15	nummod
15	třídu	NOUN	13	obj
16	tak	ADV	13	advmod
17	,	PUNCT	21	punct
18	aby	_	None	_
19	aby	SCONJ	21	mark
20	by	AUX	21	aux
21	postupně	ADV	21	advmod
22	nabídla	VERB	13	advcl
23	12	NUM	23	obl
24	letou	ADJ	24	amod
25	docházku	NOUN	21	obj
26	,	PUNCT	35	punct
27	takže	SCONJ	35	mark
28	by	AUX	35	aux
29	-	PUNCT	29	punct
30	stejně	ADV	35	advmod
31	jako	SCONJ	33	mark
32	ostatní	ADJ	33	amod
33	státní	ADJ	33	amod
34	školy	NOUN	29	advcl
35	-	PUNCT	29	punct
36	měla	VERB	21	advcl
37	od	ADP	37	case
38	resortu	NOUN	40	obl:arg
39	místního	ADJ	39	amod
40	úřadu	NOUN	37	nmod
41	získat	VERB	35	xcomp
42	prostory	NOUN	40	obj
43	pro	ADP	44	case
44	své	DET	44	det
45	žáky	NOUN	41	nmod
46	.	PUNCT	3	punct