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:
Empezar a moralizar el mercado por los abusos de los más desgraciados, los desempleados, es una vergüenza en un país donde los escándalos financieros están a la orden del día.
Postion	Tokenization
1	Empezar
2	a
3	moralizar
4	el
5	mercado
6	por
7	los
8	abusos
9	de
10	los
11	más
12	desgraciados
13	,
14	los
15	desempleados
16	,
17	es
18	una
19	vergüenza
20	en
21	un
22	país
23	donde
24	los
25	escándalos
26	financieros
27	están
28	a
29	la
30	orden
31	del
32	día
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Empezar	VERB	19	csubj
2	a	ADP	3	mark
3	moralizar	VERB	1	xcomp
4	el	DET	5	det
5	mercado	NOUN	3	obj
6	por	ADP	8	case
7	los	DET	8	det
8	abusos	NOUN	1	obl
9	de	ADP	12	case
10	los	DET	12	det
11	más	ADV	12	advmod
12	desgraciados	ADJ	8	amod
13	,	PUNCT	15	punct
14	los	DET	15	det
15	desempleados	NOUN	12	obj
16	,	PUNCT	15	punct
17	es	AUX	19	cop
18	una	DET	19	det
19	vergüenza	NOUN	0	root
20	en	ADP	22	case
21	un	DET	22	det
22	país	NOUN	19	obl
23	donde	PRON	30	obl
24	los	DET	25	det
25	escándalos	NOUN	30	nsubj
26	financieros	ADJ	25	amod
27	están	AUX	30	cop
28	a	ADP	30	case
29	la	DET	30	det
30	orden	NOUN	22	acl
31	del	ADP	32	case
32	día	NOUN	30	nmod
33	.	PUNCT	19	punct