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:
They happened in the Philippines which, like Pakistan, is an important and vulnerable node for the business which intelligence agencies and terrorist organizations conduct with each other.
Postion	Tokenization
1	They
2	happened
3	in
4	the
5	Philippines
6	which
7	,
8	like
9	Pakistan
10	,
11	is
12	an
13	important
14	and
15	vulnerable
16	node
17	for
18	the
19	business
20	which
21	intelligence
22	agencies
23	and
24	terrorist
25	organizations
26	conduct
27	with
28	each
29	other
30	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	happened	VERB	0	root
3	in	ADP	5	case
4	the	DET	5	det
5	Philippines	PROPN	2	obl
6	which	PRON	16	nsubj
7	,	PUNCT	16	punct
8	like	ADP	9	case
9	Pakistan	PROPN	16	obl
10	,	PUNCT	16	punct
11	is	AUX	16	cop
12	an	DET	16	det
13	important	ADJ	16	amod
14	and	CCONJ	15	cc
15	vulnerable	ADJ	13	conj
16	node	NOUN	5	acl:relcl
17	for	ADP	19	case
18	the	DET	19	det
19	business	NOUN	16	nmod
20	which	PRON	26	obj
21	intelligence	NOUN	22	compound
22	agencies	NOUN	26	nsubj
23	and	CCONJ	25	cc
24	terrorist	NOUN	25	compound
25	organizations	NOUN	22	conj
26	conduct	VERB	19	acl:relcl
27	with	ADP	29	case
28	each	DET	29	det
29	other	ADJ	26	obl
30	.	PUNCT	2	punct