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:
La Bolsa de Manila y la divisa filipina, el peso, registraron un alto índice de volatilidad durante la semana debido a la crisis política y social que azota a esta nación del Sudeste Asiático.
Postion	Tokenization
1	La
2	Bolsa
3	de
4	Manila
5	y
6	la
7	divisa
8	filipina
9	,
10	el
11	peso
12	,
13	registraron
14	un
15	alto
16	índice
17	de
18	volatilidad
19	durante
20	la
21	semana
22	debido
23	a
24	la
25	crisis
26	política
27	y
28	social
29	que
30	azota
31	a
32	esta
33	nación
34	del
35	Sudeste
36	Asiático
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Bolsa	PROPN	13	nsubj
3	de	ADP	4	case
4	Manila	PROPN	2	flat
5	y	CCONJ	7	cc
6	la	DET	7	det
7	divisa	NOUN	2	conj
8	filipina	ADJ	7	amod
9	,	PUNCT	11	punct
10	el	DET	11	det
11	peso	NOUN	7	appos
12	,	PUNCT	11	punct
13	registraron	VERB	0	root
14	un	DET	16	det
15	alto	ADJ	16	amod
16	índice	NOUN	13	obj
17	de	ADP	18	case
18	volatilidad	NOUN	16	nmod
19	durante	ADP	21	case
20	la	DET	21	det
21	semana	NOUN	13	obl
22	debido	ADJ	25	case
23	a	ADP	22	fixed
24	la	DET	25	det
25	crisis	NOUN	13	obl
26	política	ADJ	25	amod
27	y	CCONJ	28	cc
28	social	ADJ	26	conj
29	que	PRON	30	nsubj
30	azota	VERB	25	acl
31	a	ADP	33	case
32	esta	DET	33	det
33	nación	NOUN	30	obj
34	del	ADP	35	case
35	Sudeste	PROPN	33	nmod
36	Asiático	PROPN	35	flat
37	.	PUNCT	13	punct