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:
Dobrou skutečností nicméně podle autorů je, že Češi se snaží tyto problémy řešit, zejména pokud jde o modernizaci jejich telekomunikací a školení nové generace se západní technikou řízení.
Postion	Tokenization
1	Dobrou
2	skutečností
3	nicméně
4	podle
5	autorů
6	je
7	,
8	že
9	Češi
10	se
11	snaží
12	tyto
13	problémy
14	řešit
15	,
16	zejména
17	pokud
18	jde
19	o
20	modernizaci
21	jejich
22	telekomunikací
23	a
24	školení
25	nové
26	generace
27	se
28	západní
29	technikou
30	řízení
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Dobrou	ADJ	2	amod
2	skutečností	NOUN	0	root
3	nicméně	CCONJ	2	cc
4	podle	ADP	5	case
5	autorů	NOUN	2	obl
6	je	AUX	2	cop
7	,	PUNCT	11	punct
8	že	SCONJ	11	mark
9	Češi	PROPN	11	nsubj
10	se	PRON	11	expl:pv
11	snaží	VERB	2	csubj
12	tyto	DET	13	det
13	problémy	NOUN	14	obj
14	řešit	VERB	11	xcomp
15	,	PUNCT	18	punct
16	zejména	ADV	18	advmod:emph
17	pokud	SCONJ	18	mark
18	jde	VERB	14	advcl
19	o	ADP	20	case
20	modernizaci	NOUN	18	obl:arg
21	jejich	DET	22	det
22	telekomunikací	NOUN	20	nmod
23	a	CCONJ	24	cc
24	školení	NOUN	20	conj
25	nové	ADJ	26	amod
26	generace	NOUN	24	nmod
27	se	ADP	29	case
28	západní	ADJ	29	amod
29	technikou	NOUN	20	nmod
30	řízení	NOUN	29	nmod
31	.	PUNCT	2	punct