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:
"Nechuť ke mně, jakož i širší nechuť k přetrvávání funkce federálního prezidenta, musela být prokázána, aby se aspoň něco vyjasnilo.
Postion	Tokenization
1	"
2	Nechuť
3	ke
4	mně
5	,
6	jakož
7	i
8	širší
9	nechuť
10	k
11	přetrvávání
12	funkce
13	federálního
14	prezidenta
15	,
16	musela
17	být
18	prokázána
19	,
20	aby
21	aby
22	by
23	se
24	aspoň
25	něco
26	vyjasnilo
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	16	punct
2	Nechuť	NOUN	16	nsubj
3	ke	ADP	4	case
4	mně	PRON	2	nmod
5	,	PUNCT	9	punct
6	jakož	SCONJ	9	cc
7	i	CCONJ	9	cc
8	širší	ADJ	9	amod
9	nechuť	NOUN	2	conj
10	k	ADP	11	case
11	přetrvávání	NOUN	9	nmod
12	funkce	NOUN	11	nmod
13	federálního	ADJ	14	amod
14	prezidenta	NOUN	12	nmod
15	,	PUNCT	2	punct
16	musela	VERB	0	root
17	být	AUX	18	aux:pass
18	prokázána	ADJ	16	obj
19	,	PUNCT	25	punct
20	aby	_	None	_
21	aby	SCONJ	25	mark
22	by	AUX	25	aux
23	se	PRON	25	expl:pass
24	aspoň	ADV	24	advmod:emph
25	něco	PRON	25	nsubj:pass
26	vyjasnilo	VERB	18	advcl
27	.	PUNCT	16	punct