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:
Despite Sept. 11, the United States still supports the Kashmir groups that back jihad as part of the price Washington is paying to keep Pervez Musharraf happy.
Postion	Tokenization
1	Despite
2	Sept.
3	11
4	,
5	the
6	United
7	States
8	still
9	supports
10	the
11	Kashmir
12	groups
13	that
14	back
15	jihad
16	as
17	part
18	of
19	the
20	price
21	Washington
22	is
23	paying
24	to
25	keep
26	Pervez
27	Musharraf
28	happy
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Despite	ADP	2	case
2	Sept.	PROPN	9	obl
3	11	NUM	2	nummod
4	,	PUNCT	9	punct
5	the	DET	7	det
6	United	PROPN	7	compound
7	States	PROPN	9	nsubj
8	still	ADV	9	advmod
9	supports	VERB	0	root
10	the	DET	12	det
11	Kashmir	PROPN	12	compound
12	groups	NOUN	9	obj
13	that	PRON	14	nsubj
14	back	VERB	12	acl:relcl
15	jihad	NOUN	14	obj
16	as	ADP	17	case
17	part	NOUN	9	obl
18	of	ADP	20	case
19	the	DET	20	det
20	price	NOUN	17	nmod
21	Washington	PROPN	23	nsubj
22	is	AUX	23	aux
23	paying	VERB	20	acl:relcl
24	to	PART	25	mark
25	keep	VERB	23	advcl
26	Pervez	PROPN	27	compound
27	Musharraf	PROPN	25	obj
28	happy	ADJ	25	xcomp
29	.	PUNCT	9	punct