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:
"Durante las investigaciones para el desarrollo de nuevos principios activos para cosmética, dos de los colaboradores consiguieron resultados espectaculares, y decidimos poner en marcha la empresa", explica.
Postion	Tokenization
1	"
2	Durante
3	las
4	investigaciones
5	para
6	el
7	desarrollo
8	de
9	nuevos
10	principios
11	activos
12	para
13	cosmética
14	,
15	dos
16	de
17	los
18	colaboradores
19	consiguieron
20	resultados
21	espectaculares
22	,
23	y
24	decidimos
25	poner
26	en
27	marcha
28	la
29	empresa
30	"
31	,
32	explica
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	19	punct
2	Durante	ADP	4	case
3	las	DET	4	det
4	investigaciones	NOUN	19	obl
5	para	ADP	7	case
6	el	DET	7	det
7	desarrollo	NOUN	4	nmod
8	de	ADP	10	case
9	nuevos	ADJ	10	amod
10	principios	NOUN	7	nmod
11	activos	ADJ	10	amod
12	para	ADP	13	case
13	cosmética	NOUN	10	nmod
14	,	PUNCT	4	punct
15	dos	NUM	19	nsubj
16	de	ADP	18	case
17	los	DET	18	det
18	colaboradores	NOUN	15	nmod
19	consiguieron	VERB	32	ccomp
20	resultados	NOUN	19	obj
21	espectaculares	ADJ	20	amod
22	,	PUNCT	24	punct
23	y	CCONJ	24	cc
24	decidimos	VERB	19	conj
25	poner	VERB	24	xcomp
26	en	ADP	27	case
27	marcha	NOUN	25	compound
28	la	DET	29	det
29	empresa	NOUN	25	obj
30	"	PUNCT	19	punct
31	,	PUNCT	19	punct
32	explica	VERB	0	root
33	.	PUNCT	32	punct