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: U fresek je to žádoucí, protože od nich máte větší odstup, obrázku, na který se díváte ze dvou metrů, by to naopak mohlo uškodit , říká Michael Zachař z Pražského ústavu památkové péče.
Position	Tokenization	UPOS	Head	Deprel
1	U	ADP	2	case
2	fresek	NOUN	5	obl
3	je	AUX	5	cop
4	to	DET	5	nsubj
5	žádoucí	ADJ	30	ccomp
6	,	PUNCT	10	punct
7	protože	SCONJ	10	mark
8	od	ADP	9	case
9	nich	PRON	12	nmod
10	máte	VERB	5	advcl
11	větší	ADJ	12	amod
12	odstup	NOUN	10	obj
13	,	PUNCT	27	punct
14	obrázku	NOUN	28	obl:arg
15	,	PUNCT	19	punct
16	na	ADP	17	case
17	který	DET	19	obl
18	se	PRON	19	expl:pv
19	díváte	VERB	14	acl:relcl
20	ze	ADP	22	case
21	dvou	NUM	22	nummod
22	metrů	NOUN	19	obl
23	,	PUNCT	19	punct
24	by	AUX	27	aux
25	to	DET	27	nsubj
26	naopak	ADV	27	advmod
27	mohlo	VERB	5	conj
28	uškodit	VERB	27	xcomp
29	,	PUNCT	5	punct
30	říká	VERB	0	root
31	Michael	PROPN	30	nsubj
32	Zachař	PROPN	31	flat
33	z	ADP	35	case
34	Pražského	ADJ	35	amod
35	ústavu	NOUN	31	nmod
36	památkové	ADJ	37	amod
37	péče	NOUN	35	nmod
38	.	PUNCT	30	punct