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:
Skutečně důležité je, aby potenciál žáků, energie učitelů, jakož i prostředky nás všech, byly využity co nejefektivněji a také nejspravedlivěji.
Postion	Tokenization
1	Skutečně
2	důležité
3	je
4	,
5	aby
6	aby
7	by
8	potenciál
9	žáků
10	,
11	energie
12	učitelů
13	,
14	jakož
15	i
16	prostředky
17	nás
18	všech
19	,
20	byly
21	využity
22	co
23	nejefektivněji
24	a
25	také
26	nejspravedlivěji
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Skutečně	ADV	2	advmod
2	důležité	ADJ	0	root
3	je	AUX	2	cop
4	,	PUNCT	20	punct
5	aby	_	None	_
6	aby	SCONJ	20	mark
7	by	AUX	20	aux
8	potenciál	NOUN	20	nsubj:pass
9	žáků	NOUN	7	nmod
10	,	PUNCT	10	punct
11	energie	NOUN	7	conj
12	učitelů	NOUN	10	nmod
13	,	PUNCT	15	punct
14	jakož	SCONJ	15	cc
15	i	CCONJ	15	cc
16	prostředky	NOUN	7	conj
17	nás	PRON	15	nmod
18	všech	DET	16	det
19	,	PUNCT	7	punct
20	byly	AUX	20	aux:pass
21	využity	ADJ	2	nsubj
22	co	ADV	22	advmod
23	nejefektivněji	ADV	20	advmod
24	a	CCONJ	25	cc
25	také	ADV	25	advmod:emph
26	nejspravedlivěji	ADV	22	conj
27	.	PUNCT	2	punct