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:
La operación para capturar a Castillo por primera vez permitió la colaboración de varios países, para proteger a inmigrantes ilegales que son víctimas de organizaciones criminales, añade la nota.
Postion	Tokenization
1	La
2	operación
3	para
4	capturar
5	a
6	Castillo
7	por
8	primera
9	vez
10	permitió
11	la
12	colaboración
13	de
14	varios
15	países
16	,
17	para
18	proteger
19	a
20	inmigrantes
21	ilegales
22	que
23	son
24	víctimas
25	de
26	organizaciones
27	criminales
28	,
29	añade
30	la
31	nota
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	operación	NOUN	10	nsubj
3	para	ADP	4	mark
4	capturar	VERB	2	acl
5	a	ADP	6	case
6	Castillo	PROPN	4	obj
7	por	ADP	9	case
8	primera	ADJ	9	amod
9	vez	NOUN	4	obl
10	permitió	VERB	29	ccomp
11	la	DET	12	det
12	colaboración	NOUN	10	obj
13	de	ADP	15	case
14	varios	DET	15	det
15	países	NOUN	12	nmod
16	,	PUNCT	18	punct
17	para	ADP	18	mark
18	proteger	VERB	12	acl
19	a	ADP	20	case
20	inmigrantes	NOUN	18	obj
21	ilegales	ADJ	20	amod
22	que	PRON	24	nsubj
23	son	AUX	24	cop
24	víctimas	NOUN	20	acl
25	de	ADP	26	case
26	organizaciones	NOUN	24	nmod
27	criminales	ADJ	26	amod
28	,	PUNCT	10	punct
29	añade	VERB	0	root
30	la	DET	31	det
31	nota	NOUN	29	nsubj
32	.	PUNCT	29	punct