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:
Getting the Spanish out of Iraq isn't nearly as good a rallying cry for al-Qaeda in the Arab world as getting the Americans and British out.
Postion	Tokenization
1	Getting
2	the
3	Spanish
4	out
5	of
6	Iraq
7	isn't
8	is
9	n't
10	nearly
11	as
12	good
13	a
14	rallying
15	cry
16	for
17	al
18	-
19	Qaeda
20	in
21	the
22	Arab
23	world
24	as
25	getting
26	the
27	Americans
28	and
29	British
30	out
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Getting	VERB	14	csubj
2	the	DET	3	det
3	Spanish	ADJ	1	obj
4	out	ADP	6	case
5	of	ADP	6	case
6	Iraq	PROPN	1	xcomp
7	isn't	_	None	_
8	is	AUX	14	cop
9	n't	PART	14	advmod
10	nearly	ADV	11	advmod
11	as	ADV	11	advmod
12	good	ADJ	14	amod
13	a	DET	14	det
14	rallying	NOUN	14	compound
15	cry	NOUN	0	root
16	for	ADP	18	case
17	al	PROPN	18	compound
18	-	PUNCT	18	punct
19	Qaeda	PROPN	14	nmod
20	in	ADP	22	case
21	the	DET	22	det
22	Arab	ADJ	22	amod
23	world	NOUN	14	nmod
24	as	SCONJ	24	mark
25	getting	VERB	10	advcl
26	the	DET	26	det
27	Americans	PROPN	24	obj
28	and	CCONJ	28	cc
29	British	ADJ	26	conj
30	out	ADV	24	xcomp
31	.	PUNCT	14	punct