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: A o další tři stránky dál čteme titulek Každý druhý ekologem z pera respektovaného odborníka, který nezakrývá, že naznačená inflace toho slova se vztahuje kromě mnoha jiných postav i na resortního pana ministra.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	7	cc
2	o	ADP	5	case
3	další	ADJ	5	amod
4	tři	NUM	5	nummod
5	stránky	NOUN	6	obl
6	dál	ADV	7	advmod
7	čteme	VERB	0	root
8	titulek	NOUN	7	obj
9	Každý	DET	10	det
10	druhý	ADJ	8	dep
11	ekologem	NOUN	8	dep
12	z	ADP	13	case
13	pera	NOUN	8	nmod
14	respektovaného	ADJ	15	amod
15	odborníka	NOUN	13	nmod
16	,	PUNCT	18	punct
17	který	DET	18	nsubj
18	nezakrývá	VERB	15	acl:relcl
19	,	PUNCT	26	punct
20	že	SCONJ	26	mark
21	naznačená	ADJ	22	amod
22	inflace	NOUN	26	nsubj
23	toho	DET	24	det
24	slova	NOUN	22	nmod
25	se	PRON	26	expl:pv
26	vztahuje	VERB	18	ccomp
27	kromě	ADP	30	case
28	mnoha	DET	30	det:nummod
29	jiných	ADJ	30	amod
30	postav	NOUN	26	obl
31	i	CCONJ	35	advmod:emph
32	na	ADP	35	case
33	resortního	ADJ	35	amod
34	pana	NOUN	35	nmod
35	ministra	NOUN	26	obl:arg
36	.	PUNCT	7	punct