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:
Con una plantilla formada por 120 trabajadores, la empresa se ha lanzado también a conseguir representaciones exclusivas de marcas extranjeras para aprovechar su red de distribución: importa metales procedentes de todo el mundo y los distribuye en España.
Postion	Tokenization
1	Con
2	una
3	plantilla
4	formada
5	por
6	120
7	trabajadores
8	,
9	la
10	empresa
11	se
12	ha
13	lanzado
14	también
15	a
16	conseguir
17	representaciones
18	exclusivas
19	de
20	marcas
21	extranjeras
22	para
23	aprovechar
24	su
25	red
26	de
27	distribución
28	:
29	importa
30	metales
31	procedentes
32	de
33	todo
34	el
35	mundo
36	y
37	los
38	distribuye
39	en
40	España
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	una	DET	3	det
3	plantilla	NOUN	13	obl
4	formada	ADJ	3	amod
5	por	ADP	7	case
6	120	NUM	7	nummod
7	trabajadores	NOUN	4	obj
8	,	PUNCT	3	punct
9	la	DET	10	det
10	empresa	NOUN	13	nsubj
11	se	PRON	13	expl:pv
12	ha	AUX	13	aux
13	lanzado	VERB	0	root
14	también	ADV	13	advmod
15	a	ADP	16	mark
16	conseguir	VERB	13	xcomp
17	representaciones	NOUN	16	obj
18	exclusivas	ADJ	17	amod
19	de	ADP	20	case
20	marcas	NOUN	17	nmod
21	extranjeras	ADJ	20	amod
22	para	ADP	23	mark
23	aprovechar	VERB	16	advcl
24	su	DET	25	det
25	red	NOUN	23	obj
26	de	ADP	27	case
27	distribución	NOUN	25	nmod
28	:	PUNCT	29	punct
29	importa	VERB	13	advcl
30	metales	NOUN	29	obj
31	procedentes	ADJ	30	amod
32	de	ADP	35	case
33	todo	DET	34	det
34	el	DET	35	det
35	mundo	NOUN	31	nmod
36	y	CCONJ	38	cc
37	los	PRON	38	obj
38	distribuye	VERB	29	conj
39	en	ADP	40	case
40	España	PROPN	38	obl
41	.	PUNCT	13	punct