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:
Mientras, la maltrecha economía filipina sigue su marcha descendente y la divisa nacional, el peso, supera ya la barrera psicológica de las 50 unidades frente al dólar.
Postion	Tokenization
1	Mientras
2	,
3	la
4	maltrecha
5	economía
6	filipina
7	sigue
8	su
9	marcha
10	descendente
11	y
12	la
13	divisa
14	nacional
15	,
16	el
17	peso
18	,
19	supera
20	ya
21	la
22	barrera
23	psicológica
24	de
25	las
26	50
27	unidades
28	frente
29	al
30	dólar
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	SCONJ	7	mark
2	,	PUNCT	7	punct
3	la	DET	5	det
4	maltrecha	ADJ	5	amod
5	economía	NOUN	7	nsubj
6	filipina	ADJ	5	amod
7	sigue	VERB	0	root
8	su	DET	9	det
9	marcha	NOUN	7	obj
10	descendente	ADJ	9	amod
11	y	CCONJ	19	cc
12	la	DET	13	det
13	divisa	NOUN	19	nsubj
14	nacional	ADJ	13	amod
15	,	PUNCT	17	punct
16	el	DET	17	det
17	peso	NOUN	13	appos
18	,	PUNCT	17	punct
19	supera	VERB	7	conj
20	ya	ADV	19	advmod
21	la	DET	22	det
22	barrera	NOUN	19	obj
23	psicológica	ADJ	22	amod
24	de	ADP	27	case
25	las	DET	26	det
26	50	NUM	27	nummod
27	unidades	NOUN	22	nmod
28	frente	ADV	19	advmod
29	al	ADP	30	case
30	dólar	NOUN	28	obl
31	.	PUNCT	7	punct