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:
Úkolu vydat tento rukopis podle nejvyšších norem současné ediční techniky se ujal profesor Masarykovy univerzity a na slovo vzatý náš odborník v paleografii a jiných pomocných vědách historických, M. Flodr.
Postion	Tokenization
1	Úkolu
2	vydat
3	tento
4	rukopis
5	podle
6	nejvyšších
7	norem
8	současné
9	ediční
10	techniky
11	se
12	ujal
13	profesor
14	Masarykovy
15	univerzity
16	a
17	na
18	slovo
19	vzatý
20	náš
21	odborník
22	v
23	paleografii
24	a
25	jiných
26	pomocných
27	vědách
28	historických
29	,
30	M
31	.
32	Flodr
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Úkolu	NOUN	12	obl:arg
2	vydat	VERB	1	acl
3	tento	DET	4	det
4	rukopis	NOUN	2	obj
5	podle	ADP	7	case
6	nejvyšších	ADJ	7	amod
7	norem	NOUN	2	obl
8	současné	ADJ	10	amod
9	ediční	ADJ	10	amod
10	techniky	NOUN	7	nmod
11	se	PRON	12	expl:pv
12	ujal	VERB	0	root
13	profesor	NOUN	12	nsubj
14	Masarykovy	ADJ	15	amod
15	univerzity	NOUN	13	nmod
16	a	CCONJ	21	cc
17	na	ADP	18	case
18	slovo	NOUN	19	obl
19	vzatý	ADJ	21	amod
20	náš	DET	21	det
21	odborník	NOUN	13	conj
22	v	ADP	23	case
23	paleografii	NOUN	21	nmod
24	a	CCONJ	27	cc
25	jiných	ADJ	27	amod
26	pomocných	ADJ	27	amod
27	vědách	NOUN	23	conj
28	historických	ADJ	27	amod
29	,	PUNCT	30	punct
30	M	PROPN	13	appos
31	.	PUNCT	30	punct
32	Flodr	PROPN	30	flat
33	.	PUNCT	12	punct