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 ex ministro explicó a autoridades, empresarios e inversores la experiencia del mercado de valores de España y las enseñanzas válidas en otros países, concretamente en América Latina.
Postion	Tokenization
1	El
2	ex
3	ministro
4	explicó
5	a
6	autoridades
7	,
8	empresarios
9	e
10	inversores
11	la
12	experiencia
13	del
14	mercado
15	de
16	valores
17	de
18	España
19	y
20	las
21	enseñanzas
22	válidas
23	en
24	otros
25	países
26	,
27	concretamente
28	en
29	América
30	Latina
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	ex	ADJ	3	amod
3	ministro	NOUN	4	nsubj
4	explicó	VERB	0	root
5	a	ADP	6	case
6	autoridades	NOUN	4	obj
7	,	PUNCT	8	punct
8	empresarios	NOUN	6	conj
9	e	CCONJ	10	cc
10	inversores	NOUN	6	conj
11	la	DET	12	det
12	experiencia	NOUN	4	obj
13	del	ADP	14	case
14	mercado	NOUN	12	nmod
15	de	ADP	16	case
16	valores	NOUN	14	nmod
17	de	ADP	18	case
18	España	PROPN	14	nmod
19	y	CCONJ	21	cc
20	las	DET	21	det
21	enseñanzas	NOUN	12	conj
22	válidas	ADJ	21	amod
23	en	ADP	25	case
24	otros	DET	25	det
25	países	NOUN	22	nmod
26	,	PUNCT	27	punct
27	concretamente	ADV	25	advmod
28	en	ADP	27	case
29	América	PROPN	27	nmod
30	Latina	PROPN	29	flat
31	.	PUNCT	4	punct