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:
Birth rates in the region are very high, increasing the poverty, the social gaps and the cultural decline.
Postion	Tokenization
1	Birth
2	rates
3	in
4	the
5	region
6	are
7	very
8	high
9	,
10	increasing
11	the
12	poverty
13	,
14	the
15	social
16	gaps
17	and
18	the
19	cultural
20	decline
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Birth	NOUN	2	compound
2	rates	NOUN	8	nsubj
3	in	ADP	5	case
4	the	DET	5	det
5	region	NOUN	2	nmod
6	are	AUX	8	cop
7	very	ADV	8	advmod
8	high	ADJ	0	root
9	,	PUNCT	8	punct
10	increasing	VERB	8	advcl
11	the	DET	12	det
12	poverty	NOUN	10	obj
13	,	PUNCT	16	punct
14	the	DET	16	det
15	social	ADJ	16	amod
16	gaps	NOUN	12	conj
17	and	CCONJ	20	cc
18	the	DET	20	det
19	cultural	ADJ	20	amod
20	decline	NOUN	12	conj
21	.	PUNCT	8	punct