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:
Jim Macken, portavoz del Servicio Secreto, confirmó el robo de información pero no reveló cuál fue el sitio web del Gobierno en el que se encontró la información.
Postion	Tokenization
1	Jim
2	Macken
3	,
4	portavoz
5	del
6	Servicio
7	Secreto
8	,
9	confirmó
10	el
11	robo
12	de
13	información
14	pero
15	no
16	reveló
17	cuál
18	fue
19	el
20	sitio
21	web
22	del
23	Gobierno
24	en
25	el
26	que
27	se
28	encontró
29	la
30	información
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Jim	PROPN	9	nsubj
2	Macken	PROPN	1	flat
3	,	PUNCT	4	punct
4	portavoz	NOUN	1	appos
5	del	ADP	6	case
6	Servicio	PROPN	4	nmod
7	Secreto	PROPN	6	flat
8	,	PUNCT	4	punct
9	confirmó	VERB	0	root
10	el	DET	11	det
11	robo	NOUN	9	obj
12	de	ADP	13	case
13	información	NOUN	11	nmod
14	pero	CCONJ	16	cc
15	no	ADV	16	advmod
16	reveló	VERB	9	conj
17	cuál	PRON	16	ccomp
18	fue	AUX	17	cop
19	el	DET	20	det
20	sitio	NOUN	17	nsubj
21	web	ADJ	20	amod
22	del	ADP	23	case
23	Gobierno	PROPN	20	nmod
24	en	ADP	26	case
25	el	DET	26	det
26	que	PRON	28	obl
27	se	PRON	28	expl:pass
28	encontró	VERB	20	acl
29	la	DET	30	det
30	información	NOUN	28	nsubj
31	.	PUNCT	9	punct