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:
Los números rojos del primer trimestre habrían sido aún peores de no ser por la favorable evolución de marzo, mes que se saldó con un déficit de 51.800 millones, un 65% inferior al de 1998.
Postion	Tokenization
1	Los
2	números
3	rojos
4	del
5	primer
6	trimestre
7	habrían
8	sido
9	aún
10	peores
11	de
12	no
13	ser
14	por
15	la
16	favorable
17	evolución
18	de
19	marzo
20	,
21	mes
22	que
23	se
24	saldó
25	con
26	un
27	déficit
28	de
29	51.800
30	millones
31	,
32	un
33	65%
34	inferior
35	al
36	de
37	1998
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	números	NOUN	10	nsubj
3	rojos	ADJ	2	amod
4	del	ADP	6	case
5	primer	ADJ	6	amod
6	trimestre	NOUN	2	nmod
7	habrían	AUX	10	aux
8	sido	AUX	10	cop
9	aún	ADV	10	advmod
10	peores	ADJ	0	root
11	de	ADP	17	mark
12	no	ADV	17	advmod
13	ser	AUX	17	cop
14	por	ADP	17	case
15	la	DET	17	det
16	favorable	ADJ	17	amod
17	evolución	NOUN	10	advcl
18	de	ADP	19	case
19	marzo	NOUN	17	nmod
20	,	PUNCT	21	punct
21	mes	NOUN	19	appos
22	que	PRON	24	nsubj
23	se	PRON	24	expl:pass
24	saldó	VERB	21	acl
25	con	ADP	27	case
26	un	DET	27	det
27	déficit	NOUN	24	obl
28	de	ADP	30	case
29	51.800	NUM	30	nummod
30	millones	NOUN	27	nmod
31	,	PUNCT	33	punct
32	un	DET	33	det
33	65%	SYM	30	appos
34	inferior	ADJ	33	amod
35	al	ADP	37	case
36	de	ADP	37	case
37	1998	NOUN	34	nmod
38	.	PUNCT	10	punct