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: Nejčerstvější studie OSN o potravinovém deficitu v Africe řadí Zaire mezi státy, jakými jsou např. Rwanda a Súdán, kde celkový chaos a politická nestabilita dříve nebo později způsobí přebujelý a plošný hladomor.
Position	Tokenization	UPOS	Head	Deprel
1	Nejčerstvější	ADJ	2	amod
2	studie	NOUN	9	nsubj
3	OSN	PROPN	2	nmod
4	o	ADP	6	case
5	potravinovém	ADJ	6	amod
6	deficitu	NOUN	2	nmod
7	v	ADP	8	case
8	Africe	PROPN	6	nmod
9	řadí	VERB	0	root
10	Zaire	PROPN	9	obj
11	mezi	ADP	12	case
12	státy	NOUN	9	obl
13	,	PUNCT	14	punct
14	jakými	DET	12	acl:relcl
15	jsou	AUX	14	cop
16	např	ADV	18	advmod:emph
17	.	PUNCT	16	punct
18	Rwanda	PROPN	14	nsubj
19	a	CCONJ	20	cc
20	Súdán	PROPN	18	conj
21	,	PUNCT	31	punct
22	kde	ADV	31	advmod
23	celkový	ADJ	24	amod
24	chaos	NOUN	31	nsubj
25	a	CCONJ	27	cc
26	politická	ADJ	27	amod
27	nestabilita	NOUN	24	conj
28	dříve	ADV	31	advmod
29	nebo	CCONJ	30	cc
30	později	ADV	28	conj
31	způsobí	VERB	18	acl:relcl
32	přebujelý	ADJ	35	amod
33	a	CCONJ	34	cc
34	plošný	ADJ	32	conj
35	hladomor	NOUN	31	obj
36	.	PUNCT	9	punct