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:
En aquel momento, el director general, Xavier Martorell, calificó de "aislados y reprobables" estos hechos y rechazó las críticas por la mala formación de los agentes.
Postion	Tokenization
1	En
2	aquel
3	momento
4	,
5	el
6	director
7	general
8	,
9	Xavier
10	Martorell
11	,
12	calificó
13	de
14	"
15	aislados
16	y
17	reprobables
18	"
19	estos
20	hechos
21	y
22	rechazó
23	las
24	críticas
25	por
26	la
27	mala
28	formación
29	de
30	los
31	agentes
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	aquel	DET	3	det
3	momento	NOUN	12	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	director	NOUN	12	nsubj
7	general	ADJ	6	amod
8	,	PUNCT	9	punct
9	Xavier	PROPN	6	appos
10	Martorell	PROPN	9	flat
11	,	PUNCT	9	punct
12	calificó	VERB	0	root
13	de	ADP	15	case
14	"	PUNCT	15	punct
15	aislados	ADJ	12	obj
16	y	CCONJ	17	cc
17	reprobables	ADJ	15	conj
18	"	PUNCT	15	punct
19	estos	DET	20	det
20	hechos	NOUN	12	obj
21	y	CCONJ	22	cc
22	rechazó	VERB	12	conj
23	las	DET	24	det
24	críticas	NOUN	22	obj
25	por	ADP	28	case
26	la	DET	28	det
27	mala	ADJ	28	amod
28	formación	NOUN	24	nmod
29	de	ADP	31	case
30	los	DET	31	det
31	agentes	NOUN	28	nmod
32	.	PUNCT	12	punct