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:
(What about 40 al-Qaeda bases that had trained the 9/11 hijackers and other terrorists gunning for the United States??)
Postion	Tokenization
1	(
2	What
3	about
4	40
5	al
6	-
7	Qaeda
8	bases
9	that
10	had
11	trained
12	the
13	9/11
14	hijackers
15	and
16	other
17	terrorists
18	gunning
19	for
20	the
21	United
22	States
23	??
24	)
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	2	punct
2	What	PRON	0	root
3	about	ADP	8	case
4	40	NUM	8	nummod
5	al	PROPN	7	compound
6	-	PUNCT	7	punct
7	Qaeda	PROPN	8	compound
8	bases	NOUN	2	nmod
9	that	PRON	11	nsubj
10	had	AUX	11	aux
11	trained	VERB	8	acl:relcl
12	the	DET	14	det
13	9/11	NUM	14	nummod
14	hijackers	NOUN	11	obj
15	and	CCONJ	17	cc
16	other	ADJ	17	amod
17	terrorists	NOUN	14	conj
18	gunning	VERB	17	acl
19	for	ADP	22	case
20	the	DET	22	det
21	United	PROPN	22	compound
22	States	PROPN	18	obl
23	??	PUNCT	2	punct
24	)	PUNCT	2	punct