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:
Asesinado un sij en Arizona, asesinado un pakistaní en Dallas, 300 personas intentan atacar una mezquita en Chicago, una mujer y su hijo, apedreados en Wyoming, un hombre intenta atropellar a una mujer paquistaní, hallado un paquete sospechoso con citas de Bin Laden y una oreja de cerdo en la misión de Afganistán en Nueva York... y más.
Postion	Tokenization
1	Asesinado
2	un
3	sij
4	en
5	Arizona
6	,
7	asesinado
8	un
9	pakistaní
10	en
11	Dallas
12	,
13	300
14	personas
15	intentan
16	atacar
17	una
18	mezquita
19	en
20	Chicago
21	,
22	una
23	mujer
24	y
25	su
26	hijo
27	,
28	apedreados
29	en
30	Wyoming
31	,
32	un
33	hombre
34	intenta
35	atropellar
36	a
37	una
38	mujer
39	paquistaní
40	,
41	hallado
42	un
43	paquete
44	sospechoso
45	con
46	citas
47	de
48	Bin
49	Laden
50	y
51	una
52	oreja
53	de
54	cerdo
55	en
56	la
57	misión
58	de
59	Afganistán
60	en
61	Nueva
62	York
63	...
64	y
65	más
66	.
Position	Tokenization	UPOS	Head	Deprel
1	Asesinado	VERB	0	root
2	un	DET	3	det
3	sij	NOUN	1	nsubj
4	en	ADP	5	case
5	Arizona	PROPN	1	obl
6	,	PUNCT	7	punct
7	asesinado	VERB	1	advcl
8	un	DET	9	det
9	pakistaní	NOUN	7	nsubj
10	en	ADP	11	case
11	Dallas	PROPN	7	obl
12	,	PUNCT	15	punct
13	300	NUM	14	nummod
14	personas	NOUN	15	nsubj
15	intentan	VERB	1	advcl
16	atacar	VERB	15	xcomp
17	una	DET	18	det
18	mezquita	NOUN	16	obj
19	en	ADP	20	case
20	Chicago	PROPN	15	obl
21	,	PUNCT	28	punct
22	una	DET	23	det
23	mujer	NOUN	28	obj
24	y	CCONJ	26	cc
25	su	DET	26	det
26	hijo	NOUN	23	conj
27	,	PUNCT	23	punct
28	apedreados	VERB	1	advcl
29	en	ADP	30	case
30	Wyoming	PROPN	28	obl
31	,	PUNCT	34	punct
32	un	DET	33	det
33	hombre	NOUN	34	nsubj
34	intenta	VERB	1	advcl
35	atropellar	VERB	34	xcomp
36	a	ADP	38	case
37	una	DET	38	det
38	mujer	NOUN	35	obj
39	paquistaní	ADJ	38	amod
40	,	PUNCT	41	punct
41	hallado	VERB	1	advcl
42	un	DET	43	det
43	paquete	NOUN	41	nsubj
44	sospechoso	ADJ	43	amod
45	con	ADP	46	case
46	citas	NOUN	43	nmod
47	de	ADP	48	case
48	Bin	PROPN	46	nmod
49	Laden	PROPN	48	flat
50	y	CCONJ	52	cc
51	una	DET	52	det
52	oreja	NOUN	46	conj
53	de	ADP	54	case
54	cerdo	NOUN	52	nmod
55	en	ADP	57	case
56	la	DET	57	det
57	misión	NOUN	41	obl
58	de	ADP	59	case
59	Afganistán	PROPN	57	nmod
60	en	ADP	61	case
61	Nueva	PROPN	57	nmod
62	York	PROPN	61	flat
63	...	PUNCT	65	punct
64	y	CCONJ	65	cc
65	más	ADV	1	conj
66	.	PUNCT	1	punct