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: Na těchto prognózách nic nemění fakt, že demografický růst probíhá nerovnoměrně: některé společnosti jsou vysloveně adolescentní (80% obyvatel Keni je mladší 15 let) a jiné přestárlé (20% obyvatel Švédska má přes 65 let).
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	těchto	DET	3	det
3	prognózách	NOUN	5	obl
4	nic	PRON	5	obj
5	nemění	VERB	0	root
6	fakt	NOUN	5	nsubj
7	,	PUNCT	11	punct
8	že	SCONJ	11	mark
9	demografický	ADJ	10	amod
10	růst	NOUN	11	nsubj
11	probíhá	VERB	6	acl
12	nerovnoměrně	ADV	11	advmod
13	:	PUNCT	18	punct
14	některé	DET	15	det
15	společnosti	NOUN	18	nsubj
16	jsou	AUX	18	cop
17	vysloveně	ADV	18	advmod
18	adolescentní	ADJ	5	conj
19	(	PUNCT	25	punct
20	80	NUM	25	nsubj
21	%	SYM	20	nmod
22	obyvatel	NOUN	21	nmod
23	Keni	PROPN	22	nmod
24	je	AUX	25	cop
25	mladší	ADJ	18	parataxis
26	15	NUM	27	nummod
27	let	NOUN	25	obl
28	)	PUNCT	25	punct
29	_	_	None	_
30	a	CCONJ	30	cc
31	jiné	ADJ	18	conj
32	přestárlé	ADJ	30	orphan
33	(	PUNCT	37	punct
34	20	NUM	37	nsubj
35	%	SYM	33	nmod
36	obyvatel	NOUN	34	nmod
37	Švédska	PROPN	35	nmod
38	má	VERB	18	conj
39	přes	ADP	40	case
40	65	NUM	40	nummod:gov
41	let	NOUN	37	obl:arg
42	)	PUNCT	37	punct
43	.	PUNCT	5	punct