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: Asi 95% z předpokládaného dvojnásobku populace se v průběhu tří generací narodí v nejchudších oblastech světa- v Indii, Číně, Střední Americe, Africe, zatímco v bohatších společnostech porodnost stagnuje, nebo dokonce klesá (Itálie, Francie, Japonsko).
Position	Tokenization	UPOS	Head	Deprel
1	Asi	PART	2	advmod:emph
2	95	NUM	13	nsubj
3	%	SYM	2	nmod
4	z	ADP	6	case
5	předpokládaného	ADJ	6	amod
6	dvojnásobku	NOUN	3	nmod
7	populace	NOUN	6	nmod
8	se	PRON	13	expl:pv
9	v	ADP	12	case
10	průběhu	NOUN	9	fixed
11	tří	NUM	12	nummod
12	generací	NOUN	13	obl
13	narodí	VERB	0	root
14	v	ADP	16	case
15	nejchudších	ADJ	16	amod
16	oblastech	NOUN	13	obl
17	světa	NOUN	16	nmod
18	-	PUNCT	20	punct
19	v	ADP	20	case
20	Indii	PROPN	16	appos
21	,	PUNCT	22	punct
22	Číně	PROPN	20	conj
23	,	PUNCT	25	punct
24	Střední	ADJ	25	amod
25	Americe	PROPN	20	conj
26	,	PUNCT	27	punct
27	Africe	PROPN	20	conj
28	,	PUNCT	34	punct
29	zatímco	SCONJ	34	mark
30	v	ADP	32	case
31	bohatších	ADJ	32	amod
32	společnostech	NOUN	34	obl
33	porodnost	NOUN	34	nsubj
34	stagnuje	VERB	13	advcl
35	,	PUNCT	38	punct
36	nebo	CCONJ	38	cc
37	dokonce	ADV	38	advmod:emph
38	klesá	VERB	34	conj
39	(	PUNCT	40	punct
40	Itálie	PROPN	38	dep
41	,	PUNCT	42	punct
42	Francie	PROPN	40	conj
43	,	PUNCT	44	punct
44	Japonsko	PROPN	40	conj
45	)	PUNCT	40	punct
46	.	PUNCT	13	punct