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:
Entre los valores que experimentaron importantes alzas se encontraban también Picking Pack, un 6,54 por ciento; Banco Guipuzcoano, un 5,14 por ciento, y Amper, un 4,50 por ciento.
Postion	Tokenization
1	Entre
2	los
3	valores
4	que
5	experimentaron
6	importantes
7	alzas
8	se
9	encontraban
10	también
11	Picking
12	Pack
13	,
14	un
15	6,54
16	por
17	ciento
18	;
19	Banco
20	Guipuzcoano
21	,
22	un
23	5,14
24	por
25	ciento
26	,
27	y
28	Amper
29	,
30	un
31	4,50
32	por
33	ciento
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	los	DET	3	det
3	valores	NOUN	9	obl
4	que	PRON	5	nsubj
5	experimentaron	VERB	3	acl
6	importantes	ADJ	7	amod
7	alzas	NOUN	5	obj
8	se	PRON	9	expl:pv
9	encontraban	VERB	0	root
10	también	ADV	9	advmod
11	Picking	PROPN	9	nsubj
12	Pack	PROPN	11	flat
13	,	PUNCT	15	punct
14	un	DET	15	det
15	6,54	NUM	11	appos
16	por	ADP	17	case
17	ciento	NUM	15	compound
18	;	PUNCT	19	punct
19	Banco	PROPN	11	conj
20	Guipuzcoano	PROPN	19	flat
21	,	PUNCT	23	punct
22	un	DET	23	det
23	5,14	NUM	19	appos
24	por	ADP	25	case
25	ciento	NUM	23	compound
26	,	PUNCT	19	punct
27	y	CCONJ	28	cc
28	Amper	PROPN	11	conj
29	,	PUNCT	31	punct
30	un	DET	31	det
31	4,50	NUM	28	appos
32	por	ADP	33	case
33	ciento	NUM	31	compound
34	.	PUNCT	9	punct