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 periodista Toni Soler - - "gracias por invitar a este antiguo escolapio", dijo - - leyó el documento que enumeró los valores de esta enseñanza.
Postion	Tokenization
1	El
2	periodista
3	Toni
4	Soler
5	-
6	-
7	"
8	gracias
9	por
10	invitar
11	a
12	este
13	antiguo
14	escolapio
15	"
16	,
17	dijo
18	-
19	-
20	leyó
21	el
22	documento
23	que
24	enumeró
25	los
26	valores
27	de
28	esta
29	enseñanza
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	periodista	NOUN	20	nsubj
3	Toni	PROPN	2	appos
4	Soler	PROPN	3	flat
5	-	PUNCT	17	punct
6	-	PUNCT	17	punct
7	"	PUNCT	8	punct
8	gracias	NOUN	17	obj
9	por	ADP	10	mark
10	invitar	VERB	8	acl
11	a	ADP	14	case
12	este	DET	14	det
13	antiguo	ADJ	14	amod
14	escolapio	NOUN	10	obj
15	"	PUNCT	8	punct
16	,	PUNCT	8	punct
17	dijo	VERB	20	parataxis
18	-	PUNCT	17	punct
19	-	PUNCT	17	punct
20	leyó	VERB	0	root
21	el	DET	22	det
22	documento	NOUN	20	obj
23	que	PRON	24	nsubj
24	enumeró	VERB	22	acl
25	los	DET	26	det
26	valores	NOUN	24	obj
27	de	ADP	29	case
28	esta	DET	29	det
29	enseñanza	NOUN	26	nmod
30	.	PUNCT	20	punct