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: O dvě stránky dál v listu je ministr ŽP, dosud ekologickými aktivisty vnímaný jako dobře zaplacený vládní úředník, objeven coby Ejhle muž!, neboť verbálně vydal všanc svou budoucnost na postu proti principům, jež předložil.
Position	Tokenization	UPOS	Head	Deprel
1	O	ADP	3	case
2	dvě	NUM	3	nummod
3	stránky	NOUN	4	obl
4	dál	ADV	21	advmod
5	v	ADP	6	case
6	listu	NOUN	21	obl
7	je	AUX	21	cop
8	ministr	NOUN	21	nsubj
9	ŽP	NOUN	8	nmod
10	,	PUNCT	14	punct
11	dosud	ADV	14	advmod
12	ekologickými	ADJ	13	amod
13	aktivisty	NOUN	14	obl:arg
14	vnímaný	ADJ	8	amod
15	jako	SCONJ	19	mark
16	dobře	ADV	17	advmod
17	zaplacený	ADJ	19	amod
18	vládní	ADJ	19	amod
19	úředník	NOUN	8	xcomp
20	,	PUNCT	8	punct
21	objeven	ADJ	0	root
22	coby	SCONJ	24	mark
23	Ejhle	INTJ	24	nmod
24	muž	NOUN	8	xcomp
25	!	PUNCT	24	punct
26	,	PUNCT	29	punct
27	neboť	CCONJ	29	cc
28	verbálně	ADV	29	advmod
29	vydal	VERB	21	conj
30	všanc	ADV	29	advmod
31	svou	DET	32	det
32	budoucnost	NOUN	29	obj
33	na	ADP	34	case
34	postu	NOUN	32	nmod
35	proti	ADP	36	case
36	principům	NOUN	29	obl
37	,	PUNCT	39	punct
38	jež	PRON	39	obj
39	předložil	VERB	36	acl:relcl
40	.	PUNCT	21	punct