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:
Rovněž důkaz posledního tvrzení, které v tomto oddíle uvedeme, přebíráme z Hilberta, a to především proto, abychom ho zpřístupnili širšímu okruhu českých čtenářů.
Postion	Tokenization
1	Rovněž
2	důkaz
3	posledního
4	tvrzení
5	,
6	které
7	v
8	tomto
9	oddíle
10	uvedeme
11	,
12	přebíráme
13	z
14	Hilberta
15	,
16	a
17	to
18	především
19	proto
20	,
21	abychom
22	aby
23	bychom
24	ho
25	zpřístupnili
26	širšímu
27	okruhu
28	českých
29	čtenářů
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Rovněž	ADV	2	advmod:emph
2	důkaz	NOUN	12	obj
3	posledního	ADJ	4	amod
4	tvrzení	NOUN	2	nmod
5	,	PUNCT	10	punct
6	které	DET	10	obj
7	v	ADP	9	case
8	tomto	DET	9	det
9	oddíle	NOUN	10	obl
10	uvedeme	VERB	4	acl:relcl
11	,	PUNCT	10	punct
12	přebíráme	VERB	0	root
13	z	ADP	14	case
14	Hilberta	PROPN	12	obl
15	,	PUNCT	19	punct
16	a	CCONJ	19	cc
17	to	PART	16	fixed
18	především	ADV	19	advmod:emph
19	proto	CCONJ	12	advmod
20	,	PUNCT	24	punct
21	abychom	_	None	_
22	aby	SCONJ	24	mark
23	bychom	AUX	24	aux
24	ho	PRON	24	obj
25	zpřístupnili	VERB	12	advcl
26	širšímu	ADJ	26	amod
27	okruhu	NOUN	24	obl:arg
28	českých	ADJ	28	amod
29	čtenářů	NOUN	26	nmod
30	.	PUNCT	12	punct