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:
Tras conocerse públicamente la supuesta alianza, el superintendente de Servicios Sanitarios, Juan Eduardo Saldivia, informó el pasado Martes que solicitará datos a Aguas Barcelona respecto de la existencia y contenido de dicho trato.
Postion	Tokenization
1	Tras
2	conocerse
3	conocer
4	se
5	públicamente
6	la
7	supuesta
8	alianza
9	,
10	el
11	superintendente
12	de
13	Servicios
14	Sanitarios
15	,
16	Juan
17	Eduardo
18	Saldivia
19	,
20	informó
21	el
22	pasado
23	Martes
24	que
25	solicitará
26	datos
27	a
28	Aguas
29	Barcelona
30	respecto
31	de
32	la
33	existencia
34	y
35	contenido
36	de
37	dicho
38	trato
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	2	mark
2	conocerse	_	None	_
3	conocer	VERB	19	advcl
4	se	PRON	2	expl:pass
5	públicamente	ADV	2	advmod
6	la	DET	7	det
7	supuesta	ADJ	7	amod
8	alianza	NOUN	2	obj
9	,	PUNCT	2	punct
10	el	DET	10	det
11	superintendente	NOUN	19	nsubj
12	de	ADP	12	case
13	Servicios	PROPN	10	nmod
14	Sanitarios	PROPN	12	flat
15	,	PUNCT	15	punct
16	Juan	PROPN	10	appos
17	Eduardo	PROPN	15	flat
18	Saldivia	PROPN	15	flat
19	,	PUNCT	15	punct
20	informó	VERB	0	root
21	el	DET	22	det
22	pasado	ADJ	22	amod
23	Martes	NOUN	19	obl
24	que	SCONJ	24	mark
25	solicitará	VERB	19	ccomp
26	datos	NOUN	24	obj
27	a	ADP	27	case
28	Aguas	PROPN	24	obj
29	Barcelona	PROPN	27	flat
30	respecto	NOUN	32	case
31	de	ADP	29	fixed
32	la	DET	32	det
33	existencia	NOUN	24	obl
34	y	CCONJ	34	cc
35	contenido	NOUN	32	conj
36	de	ADP	37	case
37	dicho	ADJ	37	amod
38	trato	NOUN	34	nmod
39	.	PUNCT	19	punct