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 sede diplomática estadounidense reveló, asimismo, la brillante operación de su Servicio de Inmigración y Naturalización, de octubre pasado, que permitió arrestar a 38 traficantes indocumentados y repatriar a 3.500 inmigrantes ilegales.
Postion	Tokenization
1	La
2	sede
3	diplomática
4	estadounidense
5	reveló
6	,
7	asimismo
8	,
9	la
10	brillante
11	operación
12	de
13	su
14	Servicio
15	de
16	Inmigración
17	y
18	Naturalización
19	,
20	de
21	octubre
22	pasado
23	,
24	que
25	permitió
26	arrestar
27	a
28	38
29	traficantes
30	indocumentados
31	y
32	repatriar
33	a
34	3.500
35	inmigrantes
36	ilegales
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	sede	NOUN	5	nsubj
3	diplomática	ADJ	2	amod
4	estadounidense	ADJ	2	amod
5	reveló	VERB	0	root
6	,	PUNCT	7	punct
7	asimismo	ADV	5	advmod
8	,	PUNCT	7	punct
9	la	DET	11	det
10	brillante	ADJ	11	amod
11	operación	NOUN	5	obj
12	de	ADP	14	case
13	su	DET	14	det
14	Servicio	PROPN	11	nmod
15	de	ADP	16	case
16	Inmigración	PROPN	14	flat
17	y	CCONJ	18	cc
18	Naturalización	PROPN	16	conj
19	,	PUNCT	21	punct
20	de	ADP	21	case
21	octubre	NOUN	11	nmod
22	pasado	ADJ	21	amod
23	,	PUNCT	21	punct
24	que	PRON	25	nsubj
25	permitió	VERB	11	acl
26	arrestar	VERB	25	xcomp
27	a	ADP	29	case
28	38	NUM	29	nummod
29	traficantes	NOUN	26	obj
30	indocumentados	ADJ	29	amod
31	y	CCONJ	32	cc
32	repatriar	VERB	26	conj
33	a	ADP	35	case
34	3.500	NUM	35	nummod
35	inmigrantes	NOUN	32	obj
36	ilegales	ADJ	35	amod
37	.	PUNCT	5	punct