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 títulos con las principales pérdidas fueron los de BANACCI O con 9,57 por ciento, CEL V con 9,53 por ciento, y GFB O con 8,37 por ciento.
Postion	Tokenization
1	Los
2	títulos
3	con
4	las
5	principales
6	pérdidas
7	fueron
8	los
9	de
10	BANACCI
11	O
12	con
13	9,57
14	por
15	ciento
16	,
17	CEL
18	V
19	con
20	9,53
21	por
22	ciento
23	,
24	y
25	GFB
26	O
27	con
28	8,37
29	por
30	ciento
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	títulos	NOUN	8	nsubj
3	con	ADP	6	case
4	las	DET	6	det
5	principales	ADJ	6	amod
6	pérdidas	NOUN	2	nmod
7	fueron	AUX	8	cop
8	los	DET	0	root
9	de	ADP	10	case
10	BANACCI	PROPN	8	nmod
11	O	CCONJ	10	flat
12	con	ADP	13	case
13	9,57	NUM	10	nummod
14	por	ADP	15	case
15	ciento	NUM	13	compound
16	,	PUNCT	17	punct
17	CEL	PROPN	10	conj
18	V	PROPN	17	flat
19	con	ADP	20	case
20	9,53	NUM	17	nummod
21	por	ADP	22	case
22	ciento	NUM	20	compound
23	,	PUNCT	25	punct
24	y	CCONJ	25	cc
25	GFB	PROPN	10	conj
26	O	CCONJ	25	flat
27	con	ADP	28	case
28	8,37	NUM	25	nummod
29	por	ADP	30	case
30	ciento	NUM	28	compound
31	.	PUNCT	8	punct