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:
El funcionario indicó que el número de inmigrantes indocumentados detenidos y deportados a su país en este año creció un 8 por ciento en comparación con la cifra registrada en el mismo periodo del año pasado.
Postion	Tokenization
1	El
2	funcionario
3	indicó
4	que
5	el
6	número
7	de
8	inmigrantes
9	indocumentados
10	detenidos
11	y
12	deportados
13	a
14	su
15	país
16	en
17	este
18	año
19	creció
20	un
21	8
22	por
23	ciento
24	en
25	comparación
26	con
27	la
28	cifra
29	registrada
30	en
31	el
32	mismo
33	periodo
34	del
35	año
36	pasado
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	funcionario	NOUN	3	nsubj
3	indicó	VERB	0	root
4	que	SCONJ	19	mark
5	el	DET	6	det
6	número	NOUN	19	nsubj
7	de	ADP	8	case
8	inmigrantes	NOUN	6	nmod
9	indocumentados	ADJ	8	amod
10	detenidos	ADJ	8	amod
11	y	CCONJ	12	cc
12	deportados	ADJ	10	conj
13	a	ADP	15	case
14	su	DET	15	det
15	país	NOUN	12	obl
16	en	ADP	18	case
17	este	DET	18	det
18	año	NOUN	10	obl
19	creció	VERB	3	ccomp
20	un	DET	21	det
21	8	NUM	19	obl
22	por	ADP	23	case
23	ciento	NUM	21	compound
24	en	ADP	25	case
25	comparación	NOUN	19	obl
26	con	ADP	28	case
27	la	DET	28	det
28	cifra	NOUN	25	nmod
29	registrada	ADJ	28	amod
30	en	ADP	33	case
31	el	DET	33	det
32	mismo	DET	31	det
33	periodo	NOUN	29	obl
34	del	ADP	35	case
35	año	NOUN	33	nmod
36	pasado	NOUN	35	compound
37	.	PUNCT	3	punct