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:
"Nedostatek obilí v Číně znamená, že je ho nedostatek všude," prohlásil Lester Brown z World Watch Institute při diskusi ke snižujícím se světovým potravinovým zásobám.
Postion	Tokenization
1	"
2	Nedostatek
3	obilí
4	v
5	Číně
6	znamená
7	,
8	že
9	je
10	ho
11	nedostatek
12	všude
13	,
14	"
15	prohlásil
16	Lester
17	Brown
18	z
19	World
20	Watch
21	Institute
22	při
23	diskusi
24	ke
25	snižujícím
26	se
27	světovým
28	potravinovým
29	zásobám
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Nedostatek	NOUN	6	nsubj
3	obilí	NOUN	2	nmod
4	v	ADP	5	case
5	Číně	PROPN	2	nmod
6	znamená	VERB	15	ccomp
7	,	PUNCT	9	punct
8	že	SCONJ	9	mark
9	je	VERB	6	ccomp
10	ho	PRON	11	nmod
11	nedostatek	NOUN	9	nsubj
12	všude	ADV	9	advmod
13	,	PUNCT	6	punct
14	"	PUNCT	6	punct
15	prohlásil	VERB	0	root
16	Lester	PROPN	15	nsubj
17	Brown	PROPN	16	flat
18	z	ADP	19	case
19	World	ADJ	16	nmod
20	Watch	ADJ	19	flat:foreign
21	Institute	PROPN	19	flat:foreign
22	při	ADP	23	case
23	diskusi	NOUN	15	obl
24	ke	ADP	29	case
25	snižujícím	ADJ	29	amod
26	se	PRON	25	expl:pv
27	světovým	ADJ	29	amod
28	potravinovým	ADJ	29	amod
29	zásobám	NOUN	23	nmod
30	.	PUNCT	15	punct