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 fiscal jefe del Tribunal Superior de Murcia, Guillermo Sena, y la fiscal de menores, Mercedes Soler, calificaron el acuerdo de "solución jurídica más correcta" y "lo Mejor para el chico".
Postion	Tokenization
1	El
2	fiscal
3	jefe
4	del
5	Tribunal
6	Superior
7	de
8	Murcia
9	,
10	Guillermo
11	Sena
12	,
13	y
14	la
15	fiscal
16	de
17	menores
18	,
19	Mercedes
20	Soler
21	,
22	calificaron
23	el
24	acuerdo
25	de
26	"
27	solución
28	jurídica
29	más
30	correcta
31	"
32	y
33	"
34	lo
35	Mejor
36	para
37	el
38	chico
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	fiscal	NOUN	22	nsubj
3	jefe	NOUN	2	nmod
4	del	ADP	5	case
5	Tribunal	PROPN	2	nmod
6	Superior	PROPN	5	flat
7	de	ADP	8	case
8	Murcia	PROPN	5	flat
9	,	PUNCT	10	punct
10	Guillermo	PROPN	2	appos
11	Sena	PROPN	10	flat
12	,	PUNCT	10	punct
13	y	CCONJ	15	cc
14	la	DET	15	det
15	fiscal	NOUN	2	conj
16	de	ADP	17	case
17	menores	NOUN	15	nmod
18	,	PUNCT	19	punct
19	Mercedes	PROPN	15	appos
20	Soler	PROPN	19	flat
21	,	PUNCT	19	punct
22	calificaron	VERB	0	root
23	el	DET	24	det
24	acuerdo	NOUN	22	obj
25	de	ADP	27	case
26	"	PUNCT	27	punct
27	solución	NOUN	22	obj
28	jurídica	ADJ	27	amod
29	más	ADV	30	advmod
30	correcta	ADJ	27	amod
31	"	PUNCT	35	punct
32	y	CCONJ	35	cc
33	"	PUNCT	35	punct
34	lo	PRON	35	det
35	Mejor	ADJ	27	conj
36	para	ADP	38	case
37	el	DET	38	det
38	chico	NOUN	35	nmod
39	"	PUNCT	35	punct
40	.	PUNCT	22	punct