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:
By using the word "Islamic" as an adjective Bush was purposely not associating Muslims with fascism, hence the qualifier.
Postion	Tokenization
1	By
2	using
3	the
4	word
5	"
6	Islamic
7	"
8	as
9	an
10	adjective
11	Bush
12	was
13	purposely
14	not
15	associating
16	Muslims
17	with
18	fascism
19	,
20	hence
21	the
22	qualifier
23	.
Position	Tokenization	UPOS	Head	Deprel
1	By	SCONJ	2	mark
2	using	VERB	15	advcl
3	the	DET	4	det
4	word	NOUN	2	obj
5	"	PUNCT	6	punct
6	Islamic	ADJ	4	appos
7	"	PUNCT	6	punct
8	as	ADP	10	case
9	an	DET	10	det
10	adjective	NOUN	2	obl
11	Bush	PROPN	15	nsubj
12	was	AUX	15	aux
13	purposely	ADV	15	advmod
14	not	PART	15	advmod
15	associating	VERB	0	root
16	Muslims	PROPN	15	obj
17	with	ADP	18	case
18	fascism	NOUN	15	obl
19	,	PUNCT	15	punct
20	hence	ADV	22	advmod
21	the	DET	22	det
22	qualifier	NOUN	15	parataxis
23	.	PUNCT	15	punct