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:
Jak roste počet obyvatel ročně o 14 miliónů, snižuje se rozloha půdy pro zemědělství a roste potřeba dovážet obilí a další potraviny.
Postion	Tokenization
1	Jak
2	roste
3	počet
4	obyvatel
5	ročně
6	o
7	14
8	miliónů
9	,
10	snižuje
11	se
12	rozloha
13	půdy
14	pro
15	zemědělství
16	a
17	roste
18	potřeba
19	dovážet
20	obilí
21	a
22	další
23	potraviny
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	2	advmod
2	roste	VERB	10	advcl
3	počet	NOUN	2	nsubj
4	obyvatel	NOUN	3	nmod
5	ročně	ADV	2	advmod
6	o	ADP	8	case
7	14	NUM	8	nummod:gov
8	miliónů	NOUN	2	obl
9	,	PUNCT	2	punct
10	snižuje	VERB	0	root
11	se	PRON	10	expl:pv
12	rozloha	NOUN	10	nsubj
13	půdy	NOUN	12	nmod
14	pro	ADP	15	case
15	zemědělství	NOUN	13	nmod
16	a	CCONJ	17	cc
17	roste	VERB	10	conj
18	potřeba	NOUN	17	nsubj
19	dovážet	VERB	18	acl
20	obilí	NOUN	19	obj
21	a	CCONJ	23	cc
22	další	ADJ	23	amod
23	potraviny	NOUN	20	conj
24	.	PUNCT	10	punct