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:
According to a post she made on the internet, Aafia Siddiqui expressed the same sentiment in connection with US appropriations sought in exchange for the extradition of WTC 1993 plotter Ramzi Yousef from Pakistan.
Postion	Tokenization
1	According
2	to
3	a
4	post
5	she
6	made
7	on
8	the
9	internet
10	,
11	Aafia
12	Siddiqui
13	expressed
14	the
15	same
16	sentiment
17	in
18	connection
19	with
20	US
21	appropriations
22	sought
23	in
24	exchange
25	for
26	the
27	extradition
28	of
29	WTC
30	1993
31	plotter
32	Ramzi
33	Yousef
34	from
35	Pakistan
36	.
Position	Tokenization	UPOS	Head	Deprel
1	According	VERB	4	case
2	to	ADP	4	case
3	a	DET	4	det
4	post	NOUN	13	obl
5	she	PRON	6	nsubj
6	made	VERB	4	acl:relcl
7	on	ADP	9	case
8	the	DET	9	det
9	internet	NOUN	6	obl
10	,	PUNCT	13	punct
11	Aafia	PROPN	13	nsubj
12	Siddiqui	PROPN	11	flat
13	expressed	VERB	0	root
14	the	DET	16	det
15	same	ADJ	16	amod
16	sentiment	NOUN	13	obj
17	in	ADP	18	case
18	connection	NOUN	13	obl
19	with	ADP	21	case
20	US	PROPN	21	compound
21	appropriations	NOUN	18	nmod
22	sought	VERB	21	acl
23	in	ADP	24	case
24	exchange	NOUN	22	obl
25	for	ADP	27	case
26	the	DET	27	det
27	extradition	NOUN	24	nmod
28	of	ADP	32	case
29	WTC	PROPN	31	compound
30	1993	NUM	29	nummod
31	plotter	NOUN	32	compound
32	Ramzi	PROPN	27	nmod
33	Yousef	PROPN	32	flat
34	from	ADP	35	case
35	Pakistan	PROPN	27	nmod
36	.	PUNCT	13	punct