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 sustracción de la información ocurrió hace un año, aunque al parecer ninguna de las tarjetas fue utilizada para cometer fraudes, dijo la cadena de noticias por televisión MSNBC.
Postion	Tokenization
1	La
2	sustracción
3	de
4	la
5	información
6	ocurrió
7	hace
8	un
9	año
10	,
11	aunque
12	al
13	parecer
14	ninguna
15	de
16	las
17	tarjetas
18	fue
19	utilizada
20	para
21	cometer
22	fraudes
23	,
24	dijo
25	la
26	cadena
27	de
28	noticias
29	por
30	televisión
31	MSNBC
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	sustracción	NOUN	6	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	información	NOUN	2	nmod
6	ocurrió	VERB	24	ccomp
7	hace	VERB	6	advcl
8	un	DET	9	det
9	año	NOUN	7	obj
10	,	PUNCT	19	punct
11	aunque	SCONJ	19	mark
12	al	ADP	13	mark
13	parecer	VERB	19	advcl
14	ninguna	PRON	19	nsubj
15	de	ADP	17	case
16	las	DET	17	det
17	tarjetas	NOUN	14	nmod
18	fue	AUX	19	aux
19	utilizada	VERB	6	advcl
20	para	ADP	21	mark
21	cometer	VERB	19	advcl
22	fraudes	NOUN	21	obj
23	,	PUNCT	6	punct
24	dijo	VERB	0	root
25	la	DET	26	det
26	cadena	NOUN	24	nsubj
27	de	ADP	28	case
28	noticias	NOUN	26	nmod
29	por	ADP	30	case
30	televisión	NOUN	28	nmod
31	MSNBC	PROPN	26	appos
32	.	PUNCT	24	punct