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:
Al menos una cuarentena de docentes, un 10% de los empleados en los institutos catalanes, han sufrido una reducción de su jornada laboral, lo que implica un recorte salarial, según los datos facilitados por la Asociación de Profesores de Religión de Catalunya, que han sido corroborados por fuentes eclesiásticas.
Postion	Tokenization
1	Al
2	menos
3	una
4	cuarentena
5	de
6	docentes
7	,
8	un
9	10%
10	de
11	los
12	empleados
13	en
14	los
15	institutos
16	catalanes
17	,
18	han
19	sufrido
20	una
21	reducción
22	de
23	su
24	jornada
25	laboral
26	,
27	lo
28	que
29	implica
30	un
31	recorte
32	salarial
33	,
34	según
35	los
36	datos
37	facilitados
38	por
39	la
40	Asociación
41	de
42	Profesores
43	de
44	Religión
45	de
46	Catalunya
47	,
48	que
49	han
50	sido
51	corroborados
52	por
53	fuentes
54	eclesiásticas
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	6	advmod
2	menos	ADV	1	fixed
3	una	DET	4	det
4	cuarentena	NOUN	6	nmod
5	de	ADP	4	case
6	docentes	NOUN	19	nsubj
7	,	PUNCT	9	punct
8	un	DET	9	det
9	10%	SYM	6	appos
10	de	ADP	12	case
11	los	DET	12	det
12	empleados	NOUN	9	nmod
13	en	ADP	15	case
14	los	DET	15	det
15	institutos	NOUN	9	nmod
16	catalanes	ADJ	15	amod
17	,	PUNCT	9	punct
18	han	AUX	19	aux
19	sufrido	VERB	0	root
20	una	DET	21	det
21	reducción	NOUN	19	obj
22	de	ADP	24	case
23	su	DET	24	det
24	jornada	NOUN	21	nmod
25	laboral	ADJ	24	amod
26	,	PUNCT	29	punct
27	lo	PRON	29	det
28	que	PRON	29	nsubj
29	implica	VERB	19	advcl
30	un	DET	31	det
31	recorte	NOUN	29	obj
32	salarial	ADJ	31	amod
33	,	PUNCT	36	punct
34	según	ADP	36	case
35	los	DET	36	det
36	datos	NOUN	19	obl
37	facilitados	ADJ	36	amod
38	por	ADP	40	case
39	la	DET	40	det
40	Asociación	PROPN	37	obj
41	de	ADP	42	case
42	Profesores	PROPN	40	flat
43	de	ADP	44	case
44	Religión	PROPN	40	flat
45	de	ADP	46	case
46	Catalunya	PROPN	40	flat
47	,	PUNCT	51	punct
48	que	PRON	51	nsubj
49	han	AUX	51	aux
50	sido	AUX	51	aux
51	corroborados	VERB	36	acl
52	por	ADP	53	case
53	fuentes	NOUN	51	obj
54	eclesiásticas	ADJ	53	amod
55	.	PUNCT	19	punct