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:
Las acciones que acumularon las principales ganancias fueron las de GINSEG A con 6,25 por ciento, BACHOCO UBL con 3,51 por ciento, y DUTY con 2,56 por ciento.
Postion	Tokenization
1	Las
2	acciones
3	que
4	acumularon
5	las
6	principales
7	ganancias
8	fueron
9	las
10	de
11	GINSEG
12	A
13	con
14	6,25
15	por
16	ciento
17	,
18	BACHOCO
19	UBL
20	con
21	3,51
22	por
23	ciento
24	,
25	y
26	DUTY
27	con
28	2,56
29	por
30	ciento
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	acciones	NOUN	9	nsubj
3	que	PRON	4	nsubj
4	acumularon	VERB	2	acl
5	las	DET	7	det
6	principales	ADJ	7	amod
7	ganancias	NOUN	4	obj
8	fueron	AUX	9	cop
9	las	DET	0	root
10	de	ADP	11	case
11	GINSEG	PROPN	9	nmod
12	A	ADP	11	flat
13	con	ADP	14	case
14	6,25	NUM	11	nummod
15	por	ADP	16	case
16	ciento	NUM	14	compound
17	,	PUNCT	18	punct
18	BACHOCO	PROPN	11	conj
19	UBL	PROPN	18	flat
20	con	ADP	21	case
21	3,51	NUM	18	nummod
22	por	ADP	23	case
23	ciento	NUM	21	compound
24	,	PUNCT	26	punct
25	y	CCONJ	26	cc
26	DUTY	PROPN	11	conj
27	con	ADP	28	case
28	2,56	NUM	26	nummod
29	por	ADP	30	case
30	ciento	NUM	28	compound
31	.	PUNCT	9	punct