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:
Various doctors, both foreign and American, are associated with Al Qaeda leaders or operatives, to include the doctors Abdul Qadoos Khan, a bacteriologist from Rawalpindi and Aafia Siddiqui, PhD, from Karachi.
Postion	Tokenization
1	Various
2	doctors
3	,
4	both
5	foreign
6	and
7	American
8	,
9	are
10	associated
11	with
12	Al
13	Qaeda
14	leaders
15	or
16	operatives
17	,
18	to
19	include
20	the
21	doctors
22	Abdul
23	Qadoos
24	Khan
25	,
26	a
27	bacteriologist
28	from
29	Rawalpindi
30	and
31	Aafia
32	Siddiqui
33	,
34	PhD
35	,
36	from
37	Karachi
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Various	ADJ	2	amod
2	doctors	NOUN	10	nsubj:pass
3	,	PUNCT	2	punct
4	both	CCONJ	5	cc:preconj
5	foreign	ADJ	2	amod
6	and	CCONJ	7	cc
7	American	ADJ	5	conj
8	,	PUNCT	10	punct
9	are	AUX	10	aux:pass
10	associated	VERB	0	root
11	with	ADP	14	case
12	Al	PROPN	13	compound
13	Qaeda	PROPN	14	compound
14	leaders	NOUN	10	obl
15	or	CCONJ	16	cc
16	operatives	NOUN	14	conj
17	,	PUNCT	10	punct
18	to	PART	19	mark
19	include	VERB	16	parataxis
20	the	DET	21	det
21	doctors	NOUN	19	obj
22	Abdul	PROPN	21	appos
23	Qadoos	PROPN	22	flat
24	Khan	PROPN	22	flat
25	,	PUNCT	22	punct
26	a	DET	27	det
27	bacteriologist	NOUN	22	appos
28	from	ADP	29	case
29	Rawalpindi	PROPN	27	nmod
30	and	CCONJ	31	cc
31	Aafia	PROPN	22	conj
32	Siddiqui	PROPN	31	flat
33	,	PUNCT	31	punct
34	PhD	NOUN	31	appos
35	,	PUNCT	31	punct
36	from	ADP	37	case
37	Karachi	PROPN	31	nmod
38	.	PUNCT	10	punct