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:
On August 9, 2004, it was announced that in the Spring of 2001, a man named El-Shukrijumah, also known as Jafar the Pilot, who was part of a "second wave," had been casing New York City helicopters.
Postion	Tokenization
1	On
2	August
3	9
4	,
5	2004
6	,
7	it
8	was
9	announced
10	that
11	in
12	the
13	Spring
14	of
15	2001
16	,
17	a
18	man
19	named
20	El
21	-
22	Shukrijumah
23	,
24	also
25	known
26	as
27	Jafar
28	the
29	Pilot
30	,
31	who
32	was
33	part
34	of
35	a
36	"
37	second
38	wave
39	,
40	"
41	had
42	been
43	casing
44	New
45	York
46	City
47	helicopters
48	.
Position	Tokenization	UPOS	Head	Deprel
1	On	ADP	2	case
2	August	PROPN	9	obl
3	9	NUM	2	nummod
4	,	PUNCT	2	punct
5	2004	NUM	2	nummod
6	,	PUNCT	9	punct
7	it	PRON	9	nsubj:pass
8	was	AUX	9	aux:pass
9	announced	VERB	0	root
10	that	SCONJ	43	mark
11	in	ADP	13	case
12	the	DET	13	det
13	Spring	NOUN	43	obl
14	of	ADP	15	case
15	2001	NUM	13	nmod
16	,	PUNCT	43	punct
17	a	DET	18	det
18	man	NOUN	43	nsubj
19	named	VERB	18	acl
20	El	PROPN	19	obj
21	-	PUNCT	20	punct
22	Shukrijumah	PROPN	20	flat
23	,	PUNCT	18	punct
24	also	ADV	25	advmod
25	known	VERB	18	acl
26	as	ADP	27	case
27	Jafar	PROPN	25	obl
28	the	DET	29	det
29	Pilot	PROPN	27	appos
30	,	PUNCT	18	punct
31	who	PRON	33	nsubj
32	was	AUX	33	cop
33	part	NOUN	18	acl:relcl
34	of	ADP	38	case
35	a	DET	38	det
36	"	PUNCT	38	punct
37	second	ADJ	38	amod
38	wave	NOUN	33	nmod
39	,	PUNCT	43	punct
40	"	PUNCT	43	punct
41	had	AUX	43	aux
42	been	AUX	43	aux
43	casing	VERB	9	ccomp
44	New	PROPN	45	compound
45	York	PROPN	46	compound
46	City	PROPN	47	compound
47	helicopters	NOUN	43	obj
48	.	PUNCT	9	punct