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:
Las autoridades migratorias mexicanas deportaron en los primeros cinco meses de este año a unos 40.000 inmigrantes centroamericanos que entraron ilegalmente en México, afirmó hoy el representante del Instituto Nacional de Migración (INM), Luis Nava García.
Postion	Tokenization
1	Las
2	autoridades
3	migratorias
4	mexicanas
5	deportaron
6	en
7	los
8	primeros
9	cinco
10	meses
11	de
12	este
13	año
14	a
15	unos
16	40.000
17	inmigrantes
18	centroamericanos
19	que
20	entraron
21	ilegalmente
22	en
23	México
24	,
25	afirmó
26	hoy
27	el
28	representante
29	del
30	Instituto
31	Nacional
32	de
33	Migración
34	(
35	INM
36	)
37	,
38	Luis
39	Nava
40	García
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	autoridades	NOUN	5	nsubj
3	migratorias	ADJ	2	amod
4	mexicanas	ADJ	2	amod
5	deportaron	VERB	25	ccomp
6	en	ADP	10	case
7	los	DET	10	det
8	primeros	ADJ	7	amod
9	cinco	NUM	7	nummod
10	meses	NOUN	5	obl
11	de	ADP	13	case
12	este	DET	13	det
13	año	NOUN	10	nmod
14	a	ADP	17	case
15	unos	PRON	16	nmod
16	40.000	NUM	17	nummod
17	inmigrantes	NOUN	5	obj
18	centroamericanos	ADJ	17	amod
19	que	PRON	20	nsubj
20	entraron	VERB	17	acl
21	ilegalmente	ADV	20	advmod
22	en	ADP	23	case
23	México	PROPN	20	obl
24	,	PUNCT	5	punct
25	afirmó	VERB	0	root
26	hoy	ADV	25	advmod
27	el	DET	28	det
28	representante	NOUN	25	nsubj
29	del	ADP	30	case
30	Instituto	PROPN	28	nmod
31	Nacional	PROPN	30	flat
32	de	ADP	33	case
33	Migración	PROPN	30	nmod
34	(	PUNCT	35	punct
35	INM	PROPN	33	flat
36	)	PUNCT	35	punct
37	,	PUNCT	38	punct
38	Luis	PROPN	28	appos
39	Nava	PROPN	38	flat
40	García	PROPN	38	flat
41	.	PUNCT	25	punct