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 el lado opuesto se encontraban Banco Herrero, que cedía un 6,15 por ciento, Aumar, un 5,17 por ciento, y Corporación Mapfre, un 4,14 por ciento, por la recogida de beneficios de los inversores tras la espectacular subida del 17 por ciento de anteayer.
Postion	Tokenization
1	En
2	el
3	lado
4	opuesto
5	se
6	encontraban
7	Banco
8	Herrero
9	,
10	que
11	cedía
12	un
13	6,15
14	por
15	ciento
16	,
17	Aumar
18	,
19	un
20	5,17
21	por
22	ciento
23	,
24	y
25	Corporación
26	Mapfre
27	,
28	un
29	4,14
30	por
31	ciento
32	,
33	por
34	la
35	recogida
36	de
37	beneficios
38	de
39	los
40	inversores
41	tras
42	la
43	espectacular
44	subida
45	del
46	17
47	por
48	ciento
49	de
50	anteayer
51	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	lado	NOUN	6	obl
4	opuesto	ADJ	3	amod
5	se	PRON	6	expl:pv
6	encontraban	VERB	0	root
7	Banco	PROPN	6	nsubj
8	Herrero	PROPN	7	flat
9	,	PUNCT	11	punct
10	que	PRON	11	nsubj
11	cedía	VERB	7	acl
12	un	DET	13	det
13	6,15	NUM	11	obj
14	por	ADP	15	case
15	ciento	NUM	13	compound
16	,	PUNCT	17	punct
17	Aumar	PROPN	7	conj
18	,	PUNCT	20	punct
19	un	DET	20	det
20	5,17	NUM	17	nummod
21	por	ADP	22	case
22	ciento	NUM	20	compound
23	,	PUNCT	20	punct
24	y	CCONJ	25	cc
25	Corporación	PROPN	7	conj
26	Mapfre	PROPN	25	flat
27	,	PUNCT	29	punct
28	un	DET	29	det
29	4,14	NUM	25	nummod
30	por	ADP	31	case
31	ciento	NUM	29	compound
32	,	PUNCT	35	punct
33	por	ADP	35	case
34	la	DET	35	det
35	recogida	NOUN	29	nmod
36	de	ADP	37	case
37	beneficios	NOUN	35	nmod
38	de	ADP	40	case
39	los	DET	40	det
40	inversores	NOUN	37	nmod
41	tras	ADP	44	case
42	la	DET	44	det
43	espectacular	ADJ	44	amod
44	subida	NOUN	35	nmod
45	del	ADP	46	case
46	17	NUM	44	nummod
47	por	ADP	48	case
48	ciento	NUM	46	compound
49	de	ADP	50	case
50	anteayer	ADV	44	advmod
51	.	PUNCT	6	punct