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:
Sus males comenzaron a aflorar en 1999, al tiempo que las disposiciones de la Conselleria d 'Ensenyament promovían el aumento del tiempo invertido en ampliar o reforzar los contenidos de Lengua y Literatura, Idioma Extranjero, Ciencias Sociales y Matemáticas.
Postion	Tokenization
1	Sus
2	males
3	comenzaron
4	a
5	aflorar
6	en
7	1999
8	,
9	al
10	tiempo
11	que
12	las
13	disposiciones
14	de
15	la
16	Conselleria
17	d
18	'
19	Ensenyament
20	promovían
21	el
22	aumento
23	del
24	tiempo
25	invertido
26	en
27	ampliar
28	o
29	reforzar
30	los
31	contenidos
32	de
33	Lengua
34	y
35	Literatura
36	,
37	Idioma
38	Extranjero
39	,
40	Ciencias
41	Sociales
42	y
43	Matemáticas
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Sus	DET	2	det
2	males	NOUN	3	nsubj
3	comenzaron	VERB	0	root
4	a	ADP	5	mark
5	aflorar	VERB	3	xcomp
6	en	ADP	7	case
7	1999	NOUN	3	obl
8	,	PUNCT	20	punct
9	al	ADP	20	mark
10	tiempo	NOUN	9	fixed
11	que	SCONJ	9	fixed
12	las	DET	13	det
13	disposiciones	NOUN	20	nsubj
14	de	ADP	16	case
15	la	DET	16	det
16	Conselleria	PROPN	13	nmod
17	d	PROPN	16	flat
18	'	PUNCT	16	punct
19	Ensenyament	PROPN	16	flat
20	promovían	VERB	5	advcl
21	el	DET	22	det
22	aumento	NOUN	20	obj
23	del	ADP	24	case
24	tiempo	NOUN	22	nmod
25	invertido	ADJ	24	amod
26	en	ADP	27	mark
27	ampliar	VERB	25	advcl
28	o	CCONJ	29	cc
29	reforzar	VERB	27	conj
30	los	DET	31	det
31	contenidos	NOUN	27	obj
32	de	ADP	33	case
33	Lengua	PROPN	31	nmod
34	y	CCONJ	35	cc
35	Literatura	PROPN	33	conj
36	,	PUNCT	37	punct
37	Idioma	PROPN	33	conj
38	Extranjero	PROPN	37	flat
39	,	PUNCT	40	punct
40	Ciencias	PROPN	33	conj
41	Sociales	PROPN	40	flat
42	y	CCONJ	43	cc
43	Matemáticas	PROPN	33	conj
44	.	PUNCT	3	punct