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: Mnohé z toho, co Bělohradský připisuje Němcům, by bylo možné napsat i o Češích, v neposlední řadě o Ferdinandu Peroutkovi, kterému bylo v poslední době věnováno tolik pozornosti i na stránkách Lidových novin.
Position	Tokenization	UPOS	Head	Deprel
1	Mnohé	ADJ	13	obj
2	z	ADP	3	case
3	toho	DET	1	det
4	,	PUNCT	7	punct
5	co	PRON	7	obj
6	Bělohradský	PROPN	7	nsubj
7	připisuje	VERB	3	acl:relcl
8	Němcům	PROPN	7	obl:arg
9	,	PUNCT	7	punct
10	by	AUX	12	aux
11	bylo	AUX	12	cop
12	možné	ADJ	0	root
13	napsat	VERB	12	csubj
14	i	CCONJ	16	advmod:emph
15	o	ADP	16	case
16	Češích	PROPN	13	obl:arg
17	_	_	None	_
18	,	PUNCT	20	punct
19	v	ADP	20	case
20	neposlední	ADJ	20	amod
21	řadě	NOUN	12	conj
22	o	ADP	22	case
23	Ferdinandu	PROPN	20	orphan
24	Peroutkovi	PROPN	22	flat
25	,	PUNCT	30	punct
26	kterému	DET	30	obl:arg
27	bylo	AUX	30	aux:pass
28	v	ADP	29	case
29	poslední	ADJ	29	amod
30	době	NOUN	30	obl
31	věnováno	ADJ	22	amod
32	tolik	DET	32	det:numgov
33	pozornosti	NOUN	30	nsubj:pass
34	i	CCONJ	35	advmod:emph
35	na	ADP	35	case
36	stránkách	NOUN	30	obl
37	Lidových	ADJ	37	amod
38	novin	NOUN	35	nmod
39	.	PUNCT	12	punct