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:
En una entrevista con una emisora local, el presidente filipino insistió hoy en que no dimitirá y que si es necesario se enfrentará a un juicio en el Senado, donde prometió que "habrá sorpresas".
Postion	Tokenization
1	En
2	una
3	entrevista
4	con
5	una
6	emisora
7	local
8	,
9	el
10	presidente
11	filipino
12	insistió
13	hoy
14	en
15	que
16	no
17	dimitirá
18	y
19	que
20	si
21	es
22	necesario
23	se
24	enfrentará
25	a
26	un
27	juicio
28	en
29	el
30	Senado
31	,
32	donde
33	prometió
34	que
35	"
36	habrá
37	sorpresas
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	una	DET	3	det
3	entrevista	NOUN	12	obl
4	con	ADP	6	case
5	una	DET	6	det
6	emisora	NOUN	3	nmod
7	local	ADJ	6	amod
8	,	PUNCT	3	punct
9	el	DET	10	det
10	presidente	NOUN	12	nsubj
11	filipino	ADJ	10	amod
12	insistió	VERB	0	root
13	hoy	ADV	12	advmod
14	en	ADP	17	mark
15	que	SCONJ	17	mark
16	no	ADV	17	advmod
17	dimitirá	VERB	12	ccomp
18	y	CCONJ	24	cc
19	que	SCONJ	24	mark
20	si	SCONJ	22	mark
21	es	AUX	22	cop
22	necesario	ADJ	24	advcl
23	se	PRON	24	expl:pv
24	enfrentará	VERB	17	conj
25	a	ADP	27	case
26	un	DET	27	det
27	juicio	NOUN	24	obj
28	en	ADP	30	case
29	el	DET	30	det
30	Senado	PROPN	24	obl
31	,	PUNCT	33	punct
32	donde	PRON	33	obl
33	prometió	VERB	30	acl
34	que	SCONJ	36	mark
35	"	PUNCT	36	punct
36	habrá	AUX	33	ccomp
37	sorpresas	NOUN	36	obj
38	"	PUNCT	36	punct
39	.	PUNCT	12	punct