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 Wall Street Journal reported that a computer used by Zawahiri contains a June 1999 memo that "said the program should seek cover and talent in educational institutions, which it said were 'more beneficial to us and allow easy access to specialists, which will greatly benefit us in the first stage, God willing.' ''
Postion	Tokenization
1	The
2	Wall
3	Street
4	Journal
5	reported
6	that
7	a
8	computer
9	used
10	by
11	Zawahiri
12	contains
13	a
14	June
15	1999
16	memo
17	that
18	"
19	said
20	the
21	program
22	should
23	seek
24	cover
25	and
26	talent
27	in
28	educational
29	institutions
30	,
31	which
32	it
33	said
34	were
35	'
36	more
37	beneficial
38	to
39	us
40	and
41	allow
42	easy
43	access
44	to
45	specialists
46	,
47	which
48	will
49	greatly
50	benefit
51	us
52	in
53	the
54	first
55	stage
56	,
57	God
58	willing
59	.
60	'
61	''
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	Wall	PROPN	3	compound
3	Street	PROPN	4	compound
4	Journal	PROPN	5	nsubj
5	reported	VERB	0	root
6	that	SCONJ	12	mark
7	a	DET	8	det
8	computer	NOUN	12	nsubj
9	used	VERB	8	acl
10	by	ADP	11	case
11	Zawahiri	PROPN	9	obl
12	contains	VERB	5	ccomp
13	a	DET	16	det
14	June	PROPN	15	appos
15	1999	NUM	16	compound
16	memo	NOUN	12	obj
17	that	PRON	19	nsubj
18	"	PUNCT	19	punct
19	said	VERB	16	acl:relcl
20	the	DET	21	det
21	program	NOUN	23	nsubj
22	should	AUX	23	aux
23	seek	VERB	19	ccomp
24	cover	NOUN	23	obj
25	and	CCONJ	26	cc
26	talent	NOUN	24	conj
27	in	ADP	29	case
28	educational	ADJ	29	amod
29	institutions	NOUN	23	obl
30	,	PUNCT	29	punct
31	which	PRON	37	nsubj
32	it	PRON	33	nsubj
33	said	VERB	29	acl:relcl
34	were	AUX	37	cop
35	'	PUNCT	37	punct
36	more	ADV	37	advmod
37	beneficial	ADJ	33	ccomp
38	to	ADP	39	case
39	us	PRON	37	obl
40	and	CCONJ	41	cc
41	allow	VERB	37	conj
42	easy	ADJ	43	amod
43	access	NOUN	41	obj
44	to	ADP	45	case
45	specialists	NOUN	43	nmod
46	,	PUNCT	50	punct
47	which	PRON	50	nsubj
48	will	AUX	50	aux
49	greatly	ADV	50	advmod
50	benefit	VERB	43	acl:relcl
51	us	PRON	50	obj
52	in	ADP	55	case
53	the	DET	55	det
54	first	ADJ	55	amod
55	stage	NOUN	50	obl
56	,	PUNCT	50	punct
57	God	PROPN	58	nsubj
58	willing	ADJ	50	advcl
59	.	PUNCT	5	punct
60	'	PUNCT	5	punct
61	''	PUNCT	5	punct