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 los cítricos, las diferencias entre el precio en origen y al público se acortaron en 1999: en los limones el margen mayorista bajó el 38 por ciento y el minorista se redujo el 19,4 por ciento.
Postion	Tokenization
1	En
2	los
3	cítricos
4	,
5	las
6	diferencias
7	entre
8	el
9	precio
10	en
11	origen
12	y
13	al
14	público
15	se
16	acortaron
17	en
18	1999
19	:
20	en
21	los
22	limones
23	el
24	margen
25	mayorista
26	bajó
27	el
28	38
29	por
30	ciento
31	y
32	el
33	minorista
34	se
35	redujo
36	el
37	19,4
38	por
39	ciento
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	los	DET	3	det
3	cítricos	NOUN	16	obl
4	,	PUNCT	3	punct
5	las	DET	6	det
6	diferencias	NOUN	16	nsubj
7	entre	ADP	9	case
8	el	DET	9	det
9	precio	NOUN	6	nmod
10	en	ADP	11	case
11	origen	NOUN	9	nmod
12	y	CCONJ	14	cc
13	al	ADP	14	case
14	público	NOUN	11	conj
15	se	PRON	16	expl:pass
16	acortaron	VERB	0	root
17	en	ADP	18	case
18	1999	NOUN	16	obl
19	:	PUNCT	26	punct
20	en	ADP	22	case
21	los	DET	22	det
22	limones	NOUN	26	obl
23	el	DET	24	det
24	margen	NOUN	26	nsubj
25	mayorista	ADJ	24	amod
26	bajó	VERB	16	advcl
27	el	DET	28	det
28	38	NUM	26	obj
29	por	ADP	30	case
30	ciento	NUM	28	compound
31	y	CCONJ	35	cc
32	el	DET	33	det
33	minorista	ADJ	35	nsubj
34	se	PRON	35	expl:pv
35	redujo	VERB	26	conj
36	el	DET	37	det
37	19,4	NUM	35	obj
38	por	ADP	39	case
39	ciento	NUM	37	compound
40	.	PUNCT	16	punct