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 directora del centro, Anna Mas, aseguró que el acto pretende "rechazar la agresión y concienciar a los alumnos del incremento de estos ataques".
Postion	Tokenization
1	La
2	directora
3	del
4	centro
5	,
6	Anna
7	Mas
8	,
9	aseguró
10	que
11	el
12	acto
13	pretende
14	"
15	rechazar
16	la
17	agresión
18	y
19	concienciar
20	a
21	los
22	alumnos
23	del
24	incremento
25	de
26	estos
27	ataques
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	directora	NOUN	9	nsubj
3	del	ADP	4	case
4	centro	NOUN	2	nmod
5	,	PUNCT	6	punct
6	Anna	PROPN	2	appos
7	Mas	PROPN	6	flat
8	,	PUNCT	6	punct
9	aseguró	VERB	0	root
10	que	SCONJ	13	mark
11	el	DET	12	det
12	acto	NOUN	13	nsubj
13	pretende	VERB	9	ccomp
14	"	PUNCT	15	punct
15	rechazar	VERB	13	xcomp
16	la	DET	17	det
17	agresión	NOUN	15	obj
18	y	CCONJ	19	cc
19	concienciar	VERB	15	conj
20	a	ADP	22	case
21	los	DET	22	det
22	alumnos	NOUN	19	obj
23	del	ADP	24	case
24	incremento	NOUN	22	nmod
25	de	ADP	27	case
26	estos	DET	27	det
27	ataques	NOUN	24	nmod
28	"	PUNCT	15	punct
29	.	PUNCT	9	punct