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:
KSM and Hambali sent al-Hindi (al-Britani), along with Jafar the Pilot, to case NYC targets for a second wave.
Postion	Tokenization
1	KSM
2	and
3	Hambali
4	sent
5	al
6	-
7	Hindi
8	(
9	al
10	-
11	Britani
12	)
13	,
14	along
15	with
16	Jafar
17	the
18	Pilot
19	,
20	to
21	case
22	NYC
23	targets
24	for
25	a
26	second
27	wave
28	.
Position	Tokenization	UPOS	Head	Deprel
1	KSM	PROPN	4	nsubj
2	and	CCONJ	3	cc
3	Hambali	PROPN	1	conj
4	sent	VERB	0	root
5	al	PROPN	7	compound
6	-	PUNCT	7	punct
7	Hindi	PROPN	4	obj
8	(	PUNCT	11	punct
9	al	PROPN	11	compound
10	-	PUNCT	11	punct
11	Britani	PROPN	7	appos
12	)	PUNCT	11	punct
13	,	PUNCT	7	punct
14	along	ADP	16	case
15	with	ADP	16	case
16	Jafar	PROPN	7	nmod
17	the	DET	18	det
18	Pilot	PROPN	16	appos
19	,	PUNCT	4	punct
20	to	PART	21	mark
21	case	VERB	4	advcl
22	NYC	PROPN	23	compound
23	targets	NOUN	21	obj
24	for	ADP	27	case
25	a	DET	27	det
26	second	ADJ	27	amod
27	wave	NOUN	21	obl
28	.	PUNCT	4	punct