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: Sdělení, že třetina poslanců má ještě další zaměstnání, mě zarazilo ne proto, že bych jim nepřála vysoké příjmy, ale že si myslím, že činnost v FS by je měla všechny zaměstnávat měrou vrchovatou.
Position	Tokenization	UPOS	Head	Deprel
1	Sdělení	NOUN	12	nsubj
2	,	PUNCT	6	punct
3	že	SCONJ	6	mark
4	třetina	NUM	6	nsubj
5	poslanců	NOUN	4	nmod
6	má	VERB	1	acl
7	ještě	ADV	8	advmod:emph
8	další	ADJ	9	amod
9	zaměstnání	NOUN	6	obj
10	,	PUNCT	6	punct
11	mě	PRON	12	obj
12	zarazilo	VERB	0	root
13	ne	PART	14	advmod:emph
14	proto	ADV	12	advmod
15	,	PUNCT	19	punct
16	že	SCONJ	19	mark
17	bych	AUX	19	aux
18	jim	PRON	19	obl:arg
19	nepřála	VERB	12	advcl
20	vysoké	ADJ	21	amod
21	příjmy	NOUN	19	obj
22	,	PUNCT	26	punct
23	ale	CCONJ	26	cc
24	že	SCONJ	26	mark
25	si	PRON	26	expl:pv
26	myslím	VERB	19	conj
27	,	PUNCT	34	punct
28	že	SCONJ	34	mark
29	činnost	NOUN	34	nsubj
30	v	ADP	31	case
31	FS	PROPN	29	nmod
32	by	AUX	34	aux
33	je	PRON	36	obj
34	měla	VERB	26	ccomp
35	všechny	DET	33	xcomp
36	zaměstnávat	VERB	34	xcomp
37	měrou	NOUN	36	obl
38	vrchovatou	ADJ	37	amod
39	.	PUNCT	12	punct