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:
Na Afriku, kde se nacházejí prakticky všechny nejchudší státy, zbývají jen drobty, asi 3 miliardy dolarů ročně, což je méně, nežli obdržela loni Malajsie.
Postion	Tokenization
1	Na
2	Afriku
3	,
4	kde
5	se
6	nacházejí
7	prakticky
8	všechny
9	nejchudší
10	státy
11	,
12	zbývají
13	jen
14	drobty
15	,
16	asi
17	3
18	miliardy
19	dolarů
20	ročně
21	,
22	což
23	je
24	méně
25	,
26	nežli
27	obdržela
28	loni
29	Malajsie
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	Afriku	PROPN	12	obl:arg
3	,	PUNCT	6	punct
4	kde	ADV	6	advmod
5	se	PRON	6	expl:pv
6	nacházejí	VERB	2	acl:relcl
7	prakticky	ADV	8	advmod
8	všechny	DET	10	det
9	nejchudší	ADJ	10	amod
10	státy	NOUN	6	nsubj
11	,	PUNCT	6	punct
12	zbývají	VERB	0	root
13	jen	PART	14	advmod:emph
14	drobty	NOUN	12	nsubj
15	,	PUNCT	17	punct
16	asi	PART	17	advmod:emph
17	3	NUM	14	appos
18	miliardy	NOUN	17	nmod
19	dolarů	NOUN	18	nmod
20	ročně	ADV	19	advmod
21	,	PUNCT	23	punct
22	což	PRON	23	nsubj
23	je	VERB	12	conj
24	méně	ADV	23	advmod
25	,	PUNCT	27	punct
26	nežli	SCONJ	27	mark
27	obdržela	VERB	24	advcl
28	loni	ADV	27	advmod
29	Malajsie	PROPN	27	nsubj
30	.	PUNCT	12	punct