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:
Los mejicanos que entran ilegalmente en California tienen que vérselas las con la policía de emigración a la que nombran con una palabra que tiene su dosis de magia: la migra.
Postion	Tokenization
1	Los
2	mejicanos
3	que
4	entran
5	ilegalmente
6	en
7	California
8	tienen
9	que
10	vérselas
11	ver
12	se
13	las
14	con
15	la
16	policía
17	de
18	emigración
19	a
20	la
21	que
22	nombran
23	con
24	una
25	palabra
26	que
27	tiene
28	su
29	dosis
30	de
31	magia
32	:
33	la
34	migra
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	mejicanos	NOUN	10	nsubj
3	que	PRON	4	nsubj
4	entran	VERB	2	acl
5	ilegalmente	ADV	4	advmod
6	en	ADP	7	case
7	California	PROPN	4	obl
8	tienen	VERB	0	root
9	que	SCONJ	10	cc
10	vérselas	_	None	_
11	ver	VERB	8	conj
12	se	PRON	10	iobj
13	las	PRON	10	iobj
14	con	ADP	15	case
15	la	DET	15	det
16	policía	NOUN	10	obj
17	de	ADP	17	case
18	emigración	NOUN	15	nmod
19	a	ADP	20	case
20	la	DET	20	det
21	que	PRON	21	obj
22	nombran	VERB	15	acl
23	con	ADP	24	case
24	una	DET	24	det
25	palabra	NOUN	21	obl
26	que	PRON	26	nsubj
27	tiene	VERB	24	acl
28	su	DET	28	det
29	dosis	NOUN	26	obj
30	de	ADP	30	case
31	magia	NOUN	28	nmod
32	:	PUNCT	33	punct
33	la	DET	33	det
34	migra	NOUN	24	appos
35	.	PUNCT	8	punct