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:
Un repaso a las estadísticas revela que el descenso de la cifra total se debe a que han disminuido las asistencias técnicas que en 1999 se desbordaron por las revisiones de fachadas.
Postion	Tokenization
1	Un
2	repaso
3	a
4	las
5	estadísticas
6	revela
7	que
8	el
9	descenso
10	de
11	la
12	cifra
13	total
14	se
15	debe
16	a
17	que
18	han
19	disminuido
20	las
21	asistencias
22	técnicas
23	que
24	en
25	1999
26	se
27	desbordaron
28	por
29	las
30	revisiones
31	de
32	fachadas
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	repaso	NOUN	6	nsubj
3	a	ADP	5	case
4	las	DET	5	det
5	estadísticas	NOUN	2	nmod
6	revela	VERB	0	root
7	que	SCONJ	15	mark
8	el	DET	9	det
9	descenso	NOUN	15	nsubj
10	de	ADP	12	case
11	la	DET	12	det
12	cifra	NOUN	9	nmod
13	total	ADJ	12	amod
14	se	PRON	15	expl:pv
15	debe	VERB	6	ccomp
16	a	ADP	19	mark
17	que	SCONJ	19	mark
18	han	AUX	19	aux
19	disminuido	VERB	15	ccomp
20	las	DET	21	det
21	asistencias	NOUN	19	nsubj
22	técnicas	ADJ	21	amod
23	que	PRON	27	nsubj
24	en	ADP	25	case
25	1999	NOUN	27	obl
26	se	PRON	27	expl:pv
27	desbordaron	VERB	21	acl
28	por	ADP	30	case
29	las	DET	30	det
30	revisiones	NOUN	27	obl
31	de	ADP	32	case
32	fachadas	NOUN	30	nmod
33	.	PUNCT	6	punct