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:
The meeting was pushed together by the CIA and the US Defence Department who were desperately anxious to secure a peaceful election in Afghanistan and the non-interference of alleged Pakistani backed Taliban.
Postion	Tokenization
1	The
2	meeting
3	was
4	pushed
5	together
6	by
7	the
8	CIA
9	and
10	the
11	US
12	Defence
13	Department
14	who
15	were
16	desperately
17	anxious
18	to
19	secure
20	a
21	peaceful
22	election
23	in
24	Afghanistan
25	and
26	the
27	non-interference
28	of
29	alleged
30	Pakistani
31	backed
32	Taliban
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	meeting	NOUN	4	nsubj:pass
3	was	AUX	4	aux:pass
4	pushed	VERB	0	root
5	together	ADV	4	advmod
6	by	ADP	8	case
7	the	DET	8	det
8	CIA	PROPN	4	obl
9	and	CCONJ	13	cc
10	the	DET	13	det
11	US	PROPN	13	compound
12	Defence	PROPN	13	compound
13	Department	PROPN	8	conj
14	who	PRON	17	nsubj
15	were	AUX	17	cop
16	desperately	ADV	17	advmod
17	anxious	ADJ	8	acl:relcl
18	to	PART	19	mark
19	secure	VERB	17	advcl
20	a	DET	22	det
21	peaceful	ADJ	22	amod
22	election	NOUN	19	obj
23	in	ADP	24	case
24	Afghanistan	PROPN	22	nmod
25	and	CCONJ	27	cc
26	the	DET	27	det
27	non-interference	NOUN	22	conj
28	of	ADP	32	case
29	alleged	ADJ	32	amod
30	Pakistani	ADJ	31	obl:npmod
31	backed	VERB	32	amod
32	Taliban	PROPN	27	nmod
33	.	PUNCT	4	punct