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:
Posada should have told any inquisitive journalist at his doorstep something like Meiring told the single American reporter who bothered following his bloody trail from the Philippines, that "If this harms me in any way, you will find my power then, and you'll find out who I am."
Postion	Tokenization
1	Posada
2	should
3	have
4	told
5	any
6	inquisitive
7	journalist
8	at
9	his
10	doorstep
11	something
12	like
13	Meiring
14	told
15	the
16	single
17	American
18	reporter
19	who
20	bothered
21	following
22	his
23	bloody
24	trail
25	from
26	the
27	Philippines
28	,
29	that
30	"
31	If
32	this
33	harms
34	me
35	in
36	any
37	way
38	,
39	you
40	will
41	find
42	my
43	power
44	then
45	,
46	and
47	you'll
48	you
49	'll
50	find
51	out
52	who
53	I
54	am
55	.
56	"
Position	Tokenization	UPOS	Head	Deprel
1	Posada	PROPN	4	nsubj
2	should	AUX	4	aux
3	have	AUX	4	aux
4	told	VERB	0	root
5	any	DET	7	det
6	inquisitive	ADJ	7	amod
7	journalist	NOUN	4	iobj
8	at	ADP	10	case
9	his	PRON	10	nmod:poss
10	doorstep	NOUN	7	nmod
11	something	PRON	4	obj
12	like	SCONJ	14	mark
13	Meiring	PROPN	14	nsubj
14	told	VERB	4	advcl
15	the	DET	18	det
16	single	ADJ	18	amod
17	American	ADJ	18	amod
18	reporter	NOUN	14	obj
19	who	PRON	20	nsubj
20	bothered	VERB	18	acl:relcl
21	following	VERB	20	xcomp
22	his	PRON	24	nmod:poss
23	bloody	ADJ	24	amod
24	trail	NOUN	21	obj
25	from	ADP	27	case
26	the	DET	27	det
27	Philippines	PROPN	21	obl
28	,	PUNCT	14	punct
29	that	SCONJ	41	mark
30	"	PUNCT	41	punct
31	If	SCONJ	33	mark
32	this	PRON	33	nsubj
33	harms	VERB	41	advcl
34	me	PRON	33	obj
35	in	ADP	37	case
36	any	DET	37	det
37	way	NOUN	33	obl
38	,	PUNCT	41	punct
39	you	PRON	41	nsubj
40	will	AUX	41	aux
41	find	VERB	14	ccomp
42	my	PRON	43	nmod:poss
43	power	NOUN	41	obj
44	then	ADV	41	advmod
45	,	PUNCT	49	punct
46	and	CCONJ	49	cc
47	you'll	_	None	_
48	you	PRON	49	nsubj
49	'll	AUX	49	aux
50	find	VERB	41	conj
51	out	ADP	49	compound:prt
52	who	PRON	49	ccomp
53	I	PRON	51	nsubj
54	am	AUX	51	cop
55	.	PUNCT	4	punct
56	"	PUNCT	4	punct