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:
También es un estado radicalmente diferente a Carolina del Sur, pues Arizona comparte frontera con México y es uno de los lugares en que la inmigración legal e ilegal es mayor.
Postion	Tokenization
1	También
2	es
3	un
4	estado
5	radicalmente
6	diferente
7	a
8	Carolina
9	del
10	Sur
11	,
12	pues
13	Arizona
14	comparte
15	frontera
16	con
17	México
18	y
19	es
20	uno
21	de
22	los
23	lugares
24	en
25	que
26	la
27	inmigración
28	legal
29	e
30	ilegal
31	es
32	mayor
33	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	4	advmod
2	es	AUX	4	cop
3	un	DET	4	det
4	estado	NOUN	0	root
5	radicalmente	ADV	6	advmod
6	diferente	ADJ	4	amod
7	a	ADP	8	case
8	Carolina	PROPN	6	nmod
9	del	ADP	10	case
10	Sur	PROPN	8	flat
11	,	PUNCT	14	punct
12	pues	SCONJ	14	mark
13	Arizona	PROPN	14	nsubj
14	comparte	VERB	4	advcl
15	frontera	NOUN	14	obj
16	con	ADP	17	case
17	México	PROPN	14	obl
18	y	CCONJ	20	cc
19	es	AUX	20	cop
20	uno	PRON	14	conj
21	de	ADP	23	case
22	los	DET	23	det
23	lugares	NOUN	20	nmod
24	en	ADP	25	case
25	que	PRON	32	obl
26	la	DET	27	det
27	inmigración	NOUN	32	nsubj
28	legal	ADJ	27	amod
29	e	CCONJ	30	cc
30	ilegal	ADJ	28	conj
31	es	AUX	32	cop
32	mayor	ADJ	23	acl
33	.	PUNCT	4	punct