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:
‘’It was the first time that Bush totally focused on the Taliban threat rather than Al Qaeda with the Pakistanis,’’ says a Western diplomat.
Postion	Tokenization
1	‘’
2	It
3	was
4	the
5	first
6	time
7	that
8	Bush
9	totally
10	focused
11	on
12	the
13	Taliban
14	threat
15	rather
16	than
17	Al
18	Qaeda
19	with
20	the
21	Pakistanis
22	,
23	’’
24	says
25	a
26	Western
27	diplomat
28	.
Position	Tokenization	UPOS	Head	Deprel
1	‘’	PUNCT	24	punct
2	It	PRON	6	nsubj
3	was	AUX	6	cop
4	the	DET	6	det
5	first	ADJ	6	amod
6	time	NOUN	24	ccomp
7	that	ADV	10	advmod
8	Bush	PROPN	10	nsubj
9	totally	ADV	10	advmod
10	focused	VERB	6	acl:relcl
11	on	ADP	14	case
12	the	DET	14	det
13	Taliban	PROPN	14	compound
14	threat	NOUN	10	obl
15	rather	ADP	18	case
16	than	ADP	15	fixed
17	Al	PROPN	18	compound
18	Qaeda	PROPN	14	nmod
19	with	ADP	21	case
20	the	DET	21	det
21	Pakistanis	PROPN	10	obl
22	,	PUNCT	24	punct
23	’’	PUNCT	24	punct
24	says	VERB	0	root
25	a	DET	27	det
26	Western	ADJ	27	amod
27	diplomat	NOUN	24	nsubj
28	.	PUNCT	24	punct