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:
In fact Philippines is famous to accept people like these people i mentioned whose not filipinos but helping the Philippines to plunge in the pit as they are the rot of the country.
Postion	Tokenization
1	In
2	fact
3	Philippines
4	is
5	famous
6	to
7	accept
8	people
9	like
10	these
11	people
12	i
13	mentioned
14	whose
15	not
16	filipinos
17	but
18	helping
19	the
20	Philippines
21	to
22	plunge
23	in
24	the
25	pit
26	as
27	they
28	are
29	the
30	rot
31	of
32	the
33	country
34	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	fact	NOUN	5	obl
3	Philippines	PROPN	5	nsubj
4	is	AUX	5	cop
5	famous	ADJ	0	root
6	to	PART	7	mark
7	accept	VERB	5	advcl
8	people	NOUN	7	obj
9	like	ADP	11	case
10	these	DET	11	det
11	people	NOUN	8	nmod
12	i	PRON	13	nsubj
13	mentioned	VERB	11	acl:relcl
14	whose	PRON	16	nsubj
15	not	PART	16	advmod
16	filipinos	PROPN	11	acl:relcl
17	but	CCONJ	18	cc
18	helping	VERB	16	conj
19	the	DET	20	det
20	Philippines	PROPN	18	obj
21	to	PART	22	mark
22	plunge	VERB	18	xcomp
23	in	ADP	25	case
24	the	DET	25	det
25	pit	NOUN	22	obl
26	as	SCONJ	30	mark
27	they	PRON	30	nsubj
28	are	AUX	30	cop
29	the	DET	30	det
30	rot	NOUN	22	advcl
31	of	ADP	33	case
32	the	DET	33	det
33	country	NOUN	30	nmod
34	.	PUNCT	5	punct