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:
Svědčí to nejen o špatné úrovni meziresortního připomínkového řízení, ale především o tom, že mezi členy vlády neexistuje ani základní shoda o koncepci ekologické politiky státu.
Postion	Tokenization
1	Svědčí
2	to
3	nejen
4	o
5	špatné
6	úrovni
7	meziresortního
8	připomínkového
9	řízení
10	,
11	ale
12	především
13	o
14	tom
15	,
16	že
17	mezi
18	členy
19	vlády
20	neexistuje
21	ani
22	základní
23	shoda
24	o
25	koncepci
26	ekologické
27	politiky
28	státu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Svědčí	VERB	0	root
2	to	DET	1	nsubj
3	nejen	PART	6	advmod:emph
4	o	ADP	6	case
5	špatné	ADJ	6	amod
6	úrovni	NOUN	1	obl:arg
7	meziresortního	ADJ	9	amod
8	připomínkového	ADJ	9	amod
9	řízení	NOUN	6	nmod
10	,	PUNCT	14	punct
11	ale	CCONJ	14	cc
12	především	ADV	14	advmod:emph
13	o	ADP	14	case
14	tom	DET	6	conj
15	,	PUNCT	20	punct
16	že	SCONJ	20	mark
17	mezi	ADP	18	case
18	členy	NOUN	20	obl
19	vlády	NOUN	18	nmod
20	neexistuje	VERB	14	acl
21	ani	CCONJ	23	advmod:emph
22	základní	ADJ	23	amod
23	shoda	NOUN	20	nsubj
24	o	ADP	25	case
25	koncepci	NOUN	23	nmod
26	ekologické	ADJ	27	amod
27	politiky	NOUN	25	nmod
28	státu	NOUN	27	nmod
29	.	PUNCT	1	punct