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:
Musím se přiznat, že mi vadí, když se špičkový odborník z jedné oblasti vyjadřuje autoritativně o oblastech, o nichž toho mnoho neví.
Postion	Tokenization
1	Musím
2	se
3	přiznat
4	,
5	že
6	mi
7	vadí
8	,
9	když
10	se
11	špičkový
12	odborník
13	z
14	jedné
15	oblasti
16	vyjadřuje
17	autoritativně
18	o
19	oblastech
20	,
21	o
22	nichž
23	toho
24	mnoho
25	neví
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Musím	VERB	0	root
2	se	PRON	3	expl:pv
3	přiznat	VERB	1	xcomp
4	,	PUNCT	7	punct
5	že	SCONJ	7	mark
6	mi	PRON	7	obl:arg
7	vadí	VERB	3	ccomp
8	,	PUNCT	16	punct
9	když	SCONJ	16	mark
10	se	PRON	16	expl:pv
11	špičkový	ADJ	12	amod
12	odborník	NOUN	16	nsubj
13	z	ADP	15	case
14	jedné	NUM	15	nummod
15	oblasti	NOUN	12	nmod
16	vyjadřuje	VERB	7	csubj
17	autoritativně	ADV	16	advmod
18	o	ADP	19	case
19	oblastech	NOUN	16	obl:arg
20	,	PUNCT	25	punct
21	o	ADP	22	case
22	nichž	PRON	25	obl:arg
23	toho	DET	24	amod
24	mnoho	DET	25	obj
25	neví	VERB	19	acl:relcl
26	.	PUNCT	1	punct