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 quince meses produjo 1.700 modelos A y en los cinco años siguientes recorrieron todo el alfabeto de la B a la S, para mejorarlo.
Postion	Tokenization
1	En
2	quince
3	meses
4	produjo
5	1.700
6	modelos
7	A
8	y
9	en
10	los
11	cinco
12	años
13	siguientes
14	recorrieron
15	todo
16	el
17	alfabeto
18	de
19	la
20	B
21	a
22	la
23	S
24	,
25	para
26	mejorarlo
27	mejorar
28	lo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	quince	NUM	3	nummod
3	meses	NOUN	4	obl
4	produjo	VERB	0	root
5	1.700	NUM	6	nummod
6	modelos	NOUN	4	obj
7	A	PROPN	6	appos
8	y	CCONJ	14	cc
9	en	ADP	12	case
10	los	DET	12	det
11	cinco	NUM	10	nummod
12	años	NOUN	14	obl
13	siguientes	ADJ	12	amod
14	recorrieron	VERB	4	conj
15	todo	DET	16	det
16	el	DET	17	det
17	alfabeto	NOUN	14	obj
18	de	ADP	20	case
19	la	DET	20	det
20	B	NOUN	14	obl
21	a	ADP	23	case
22	la	DET	23	det
23	S	NOUN	14	obl
24	,	PUNCT	26	punct
25	para	ADP	26	mark
26	mejorarlo	_	None	_
27	mejorar	VERB	14	advcl
28	lo	PRON	26	obj
29	.	PUNCT	4	punct