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 dijo que las investigaciones para localizar al pirata informático responsable del movimiento de información sobre las tarjetas de crédito ha conducido a los detectives hasta un país de Europa del Este.
Postion	Tokenization
1	Jim
2	Macken
3	dijo
4	que
5	las
6	investigaciones
7	para
8	localizar
9	al
10	pirata
11	informático
12	responsable
13	del
14	movimiento
15	de
16	información
17	sobre
18	las
19	tarjetas
20	de
21	crédito
22	ha
23	conducido
24	a
25	los
26	detectives
27	hasta
28	un
29	país
30	de
31	Europa
32	del
33	Este
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Jim	PROPN	3	nsubj
2	Macken	PROPN	1	flat
3	dijo	VERB	0	root
4	que	SCONJ	23	mark
5	las	DET	6	det
6	investigaciones	NOUN	23	nsubj
7	para	ADP	8	mark
8	localizar	VERB	6	acl
9	al	ADP	10	case
10	pirata	NOUN	8	obj
11	informático	ADJ	10	amod
12	responsable	ADJ	10	amod
13	del	ADP	14	case
14	movimiento	NOUN	12	nmod
15	de	ADP	16	case
16	información	NOUN	14	nmod
17	sobre	ADP	19	case
18	las	DET	19	det
19	tarjetas	NOUN	16	nmod
20	de	ADP	21	case
21	crédito	NOUN	19	nmod
22	ha	AUX	23	aux
23	conducido	VERB	3	ccomp
24	a	ADP	26	case
25	los	DET	26	det
26	detectives	NOUN	23	obj
27	hasta	ADP	29	case
28	un	DET	29	det
29	país	NOUN	23	obl
30	de	ADP	31	case
31	Europa	PROPN	29	nmod
32	del	ADP	33	case
33	Este	PROPN	31	flat
34	.	PUNCT	3	punct