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:
...a drop in the birth rate, a deterioration in women's reproductive health, an increase in complications during pregnancy and birth, and a deterioration in neonatal health....
Postion	Tokenization
1	...
2	a
3	drop
4	in
5	the
6	birth
7	rate
8	,
9	a
10	deterioration
11	in
12	women's
13	women
14	's
15	reproductive
16	health
17	,
18	an
19	increase
20	in
21	complications
22	during
23	pregnancy
24	and
25	birth
26	,
27	and
28	a
29	deterioration
30	in
31	neonatal
32	health
33	....
Position	Tokenization	UPOS	Head	Deprel
1	...	PUNCT	3	punct
2	a	DET	3	det
3	drop	NOUN	0	root
4	in	ADP	7	case
5	the	DET	7	det
6	birth	NOUN	7	compound
7	rate	NOUN	3	nmod
8	,	PUNCT	10	punct
9	a	DET	10	det
10	deterioration	NOUN	3	conj
11	in	ADP	15	case
12	women's	_	None	_
13	women	NOUN	15	nmod:poss
14	's	PART	12	case
15	reproductive	ADJ	15	amod
16	health	NOUN	10	nmod
17	,	PUNCT	18	punct
18	an	DET	18	det
19	increase	NOUN	3	conj
20	in	ADP	20	case
21	complications	NOUN	18	nmod
22	during	ADP	22	case
23	pregnancy	NOUN	20	nmod
24	and	CCONJ	24	cc
25	birth	NOUN	22	conj
26	,	PUNCT	28	punct
27	and	CCONJ	28	cc
28	a	DET	28	det
29	deterioration	NOUN	3	conj
30	in	ADP	31	case
31	neonatal	ADJ	31	amod
32	health	NOUN	28	nmod
33	....	PUNCT	3	punct