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:
La titular del Juzgado de Instrucción número 3 de Vic, Gladis López, cursó ayer las citaciones de los tres monitores y una orden a los Mossos d'Esquadra para que efectúen una reconstrucción de los hechos, también la próxima semana, según fuentes judiciales.
Postion	Tokenization
1	La
2	titular
3	del
4	Juzgado
5	de
6	Instrucción
7	número
8	3
9	de
10	Vic
11	,
12	Gladis
13	López
14	,
15	cursó
16	ayer
17	las
18	citaciones
19	de
20	los
21	tres
22	monitores
23	y
24	una
25	orden
26	a
27	los
28	Mossos
29	d'Esquadra
30	para
31	que
32	efectúen
33	una
34	reconstrucción
35	de
36	los
37	hechos
38	,
39	también
40	la
41	próxima
42	semana
43	,
44	según
45	fuentes
46	judiciales
47	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	titular	NOUN	15	nsubj
3	del	ADP	4	case
4	Juzgado	PROPN	2	nmod
5	de	ADP	6	case
6	Instrucción	PROPN	4	flat
7	número	PROPN	6	flat
8	3	NUM	6	nummod
9	de	ADP	10	case
10	Vic	PROPN	2	nmod
11	,	PUNCT	12	punct
12	Gladis	PROPN	2	appos
13	López	PROPN	12	flat
14	,	PUNCT	12	punct
15	cursó	VERB	0	root
16	ayer	ADV	15	advmod
17	las	DET	18	det
18	citaciones	NOUN	15	obj
19	de	ADP	22	case
20	los	DET	22	det
21	tres	NUM	20	nummod
22	monitores	NOUN	18	nmod
23	y	CCONJ	25	cc
24	una	DET	25	det
25	orden	NOUN	18	conj
26	a	ADP	28	case
27	los	DET	28	det
28	Mossos	PROPN	25	nmod
29	d'Esquadra	PROPN	28	flat
30	para	ADP	32	mark
31	que	SCONJ	32	mark
32	efectúen	VERB	25	acl
33	una	DET	34	det
34	reconstrucción	NOUN	32	obj
35	de	ADP	37	case
36	los	DET	37	det
37	hechos	NOUN	34	nmod
38	,	PUNCT	42	punct
39	también	ADV	42	advmod
40	la	DET	42	det
41	próxima	ADJ	42	amod
42	semana	NOUN	32	obl
43	,	PUNCT	42	punct
44	según	ADP	45	case
45	fuentes	NOUN	15	obl
46	judiciales	ADJ	45	amod
47	.	PUNCT	15	punct