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 text: František Linda se sice pozastavil nad tím, že člověk, který neustále zabezpečován muži s vysílačkami, není schopen včas oznámit důvod zpoždění, ale zároveň dodal, že je připraven kdykoliv přicestovat na nová jednání.
Position	Tokenization	UPOS	Head	Deprel
1	František	PROPN	5	nsubj
2	Linda	PROPN	1	flat
3	se	PRON	5	expl:pv
4	sice	ADV	5	cc
5	pozastavil	VERB	0	root
6	nad	ADP	7	case
7	tím	DET	5	obl:arg
8	,	PUNCT	20	punct
9	že	SCONJ	20	mark
10	člověk	NOUN	20	nsubj
11	,	PUNCT	14	punct
12	který	DET	14	nsubj:pass
13	neustále	ADV	14	advmod
14	zabezpečován	ADJ	10	amod
15	muži	NOUN	14	obl:arg
16	s	ADP	17	case
17	vysílačkami	NOUN	15	nmod
18	,	PUNCT	14	punct
19	není	AUX	20	cop
20	schopen	ADJ	7	acl
21	včas	ADV	22	advmod
22	oznámit	VERB	20	xcomp
23	důvod	NOUN	22	obj
24	zpoždění	NOUN	23	nmod
25	,	PUNCT	28	punct
26	ale	CCONJ	28	cc
27	zároveň	ADV	28	advmod
28	dodal	VERB	5	conj
29	,	PUNCT	32	punct
30	že	SCONJ	32	mark
31	je	AUX	32	cop
32	připraven	ADJ	28	ccomp
33	kdykoliv	ADV	34	advmod
34	přicestovat	VERB	32	xcomp
35	na	ADP	37	case
36	nová	ADJ	37	amod
37	jednání	NOUN	34	obl
38	.	PUNCT	5	punct