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: Přírodovědné vzdělání se může zužitkovat nejen v osobním životě, ale i při výkonu povolání: i právník nebo ekonom, nemluvě již o kterémkoliv učiteli, se ve své profesi setkávají s podobnými problémy.
Position	Tokenization	UPOS	Head	Deprel
1	Přírodovědné	ADJ	2	amod
2	vzdělání	NOUN	4	nsubj:pass
3	se	PRON	4	expl:pass
4	může	VERB	0	root
5	zužitkovat	VERB	4	xcomp
6	nejen	PART	9	advmod:emph
7	v	ADP	9	case
8	osobním	ADJ	9	amod
9	životě	NOUN	5	obl
10	,	PUNCT	14	punct
11	ale	CCONJ	14	cc
12	i	CCONJ	14	advmod:emph
13	při	ADP	14	case
14	výkonu	NOUN	9	conj
15	povolání	NOUN	14	nmod
16	:	PUNCT	32	punct
17	i	CCONJ	18	advmod:emph
18	právník	NOUN	32	nsubj
19	nebo	CCONJ	20	cc
20	ekonom	NOUN	18	conj
21	,	PUNCT	22	punct
22	nemluvě	VERB	32	advcl
23	již	ADV	22	advmod
24	o	ADP	26	case
25	kterémkoliv	DET	26	det
26	učiteli	NOUN	22	obl:arg
27	,	PUNCT	22	punct
28	se	PRON	32	expl:pv
29	ve	ADP	31	case
30	své	DET	31	det
31	profesi	NOUN	32	obl
32	setkávají	VERB	4	conj
33	s	ADP	35	case
34	podobnými	ADJ	35	amod
35	problémy	NOUN	32	obl:arg
36	.	PUNCT	4	punct