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:
Mathé je však přesvědčen, že parlament nesáhne k tak zásadním zákonným úpravám, jež by mohly znamenat konec jednoho či druhého sektoru našeho duálního systému vysílání.
Postion	Tokenization
1	Mathé
2	je
3	však
4	přesvědčen
5	,
6	že
7	parlament
8	nesáhne
9	k
10	tak
11	zásadním
12	zákonným
13	úpravám
14	,
15	jež
16	by
17	mohly
18	znamenat
19	konec
20	jednoho
21	či
22	druhého
23	sektoru
24	našeho
25	duálního
26	systému
27	vysílání
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Mathé	PROPN	4	nsubj
2	je	AUX	4	cop
3	však	CCONJ	4	cc
4	přesvědčen	ADJ	0	root
5	,	PUNCT	8	punct
6	že	SCONJ	8	mark
7	parlament	NOUN	8	nsubj
8	nesáhne	VERB	4	ccomp
9	k	ADP	13	case
10	tak	ADV	11	advmod
11	zásadním	ADJ	13	amod
12	zákonným	ADJ	13	amod
13	úpravám	NOUN	8	obl:arg
14	,	PUNCT	17	punct
15	jež	PRON	17	nsubj
16	by	AUX	17	aux
17	mohly	VERB	13	acl:relcl
18	znamenat	VERB	17	xcomp
19	konec	NOUN	18	obj
20	jednoho	NUM	23	nummod
21	či	CCONJ	22	cc
22	druhého	ADJ	20	conj
23	sektoru	NOUN	19	nmod
24	našeho	DET	26	det
25	duálního	ADJ	26	amod
26	systému	NOUN	23	nmod
27	vysílání	NOUN	26	nmod
28	.	PUNCT	4	punct