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:
Toman žádal později v dopise ministra vnitra Noska, s kterým se dobře znal, o vydání svého syna a stejně učinili i příbuzní ze Slovenska a dokonce až z Austrálie.
Postion	Tokenization
1	Toman
2	žádal
3	později
4	v
5	dopise
6	ministra
7	vnitra
8	Noska
9	,
10	s
11	kterým
12	se
13	dobře
14	znal
15	,
16	o
17	vydání
18	svého
19	syna
20	a
21	stejně
22	učinili
23	i
24	příbuzní
25	ze
26	Slovenska
27	a
28	dokonce
29	až
30	z
31	Austrálie
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Toman	PROPN	2	nsubj
2	žádal	VERB	0	root
3	později	ADV	2	advmod
4	v	ADP	5	case
5	dopise	NOUN	2	obl
6	ministra	NOUN	2	obj
7	vnitra	NOUN	6	nmod
8	Noska	PROPN	6	flat
9	,	PUNCT	14	punct
10	s	ADP	11	case
11	kterým	DET	14	obl:arg
12	se	PRON	14	expl:pv
13	dobře	ADV	14	advmod
14	znal	VERB	6	acl:relcl
15	,	PUNCT	14	punct
16	o	ADP	17	case
17	vydání	NOUN	2	obl:arg
18	svého	DET	19	det
19	syna	NOUN	17	nmod
20	a	CCONJ	22	cc
21	stejně	ADV	22	advmod
22	učinili	VERB	2	conj
23	i	CCONJ	24	advmod:emph
24	příbuzní	NOUN	22	nsubj
25	ze	ADP	26	case
26	Slovenska	PROPN	24	nmod
27	a	CCONJ	31	cc
28	dokonce	ADV	31	advmod:emph
29	až	PART	31	advmod:emph
30	z	ADP	31	case
31	Austrálie	PROPN	26	conj
32	.	PUNCT	2	punct