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:
"Es por la ignorancia de la gente", afirma un agente que patrulla en la Atlantic Avenue de Brooklyn, arteria principal de una de las comunidades árabes más importantes de Nueva York.
Postion	Tokenization
1	"
2	Es
3	por
4	la
5	ignorancia
6	de
7	la
8	gente
9	"
10	,
11	afirma
12	un
13	agente
14	que
15	patrulla
16	en
17	la
18	Atlantic
19	Avenue
20	de
21	Brooklyn
22	,
23	arteria
24	principal
25	de
26	una
27	de
28	las
29	comunidades
30	árabes
31	más
32	importantes
33	de
34	Nueva
35	York
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Es	AUX	5	cop
3	por	ADP	5	case
4	la	DET	5	det
5	ignorancia	NOUN	11	ccomp
6	de	ADP	8	case
7	la	DET	8	det
8	gente	NOUN	5	nmod
9	"	PUNCT	5	punct
10	,	PUNCT	5	punct
11	afirma	VERB	0	root
12	un	DET	13	det
13	agente	NOUN	11	nsubj
14	que	PRON	15	nsubj
15	patrulla	VERB	13	acl
16	en	ADP	18	case
17	la	DET	18	det
18	Atlantic	PROPN	15	obl
19	Avenue	PROPN	18	flat
20	de	ADP	21	case
21	Brooklyn	PROPN	18	nmod
22	,	PUNCT	23	punct
23	arteria	NOUN	18	appos
24	principal	ADJ	23	amod
25	de	ADP	26	case
26	una	PRON	23	nmod
27	de	ADP	29	case
28	las	DET	29	det
29	comunidades	NOUN	26	nmod
30	árabes	ADJ	29	amod
31	más	ADV	32	advmod
32	importantes	ADJ	29	amod
33	de	ADP	34	case
34	Nueva	PROPN	29	nmod
35	York	PROPN	34	flat
36	.	PUNCT	11	punct