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 la cena, la patronal Pimec-Sefes, que representa a más de 50.000 empresas, entregó sus premios anuales a las pymes que han desarrollado proyectos más destacados, así como también distinguió, en el apartado periodístico, al suplemento de Economía del diario La Vanguardia.
Postion	Tokenization
1	Durante
2	la
3	cena
4	,
5	la
6	patronal
7	Pimec-Sefes
8	,
9	que
10	representa
11	a
12	más
13	de
14	50.000
15	empresas
16	,
17	entregó
18	sus
19	premios
20	anuales
21	a
22	las
23	pymes
24	que
25	han
26	desarrollado
27	proyectos
28	más
29	destacados
30	,
31	así
32	como
33	también
34	distinguió
35	,
36	en
37	el
38	apartado
39	periodístico
40	,
41	al
42	suplemento
43	de
44	Economía
45	del
46	diario
47	La
48	Vanguardia
49	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	3	case
2	la	DET	3	det
3	cena	NOUN	17	obl
4	,	PUNCT	3	punct
5	la	DET	7	det
6	patronal	ADJ	7	amod
7	Pimec-Sefes	PROPN	17	nsubj
8	,	PUNCT	10	punct
9	que	PRON	10	nsubj
10	representa	VERB	7	acl
11	a	ADP	15	case
12	más	ADV	15	advmod
13	de	ADP	12	fixed
14	50.000	NUM	12	nummod
15	empresas	NOUN	10	obj
16	,	PUNCT	10	punct
17	entregó	VERB	31	parataxis
18	sus	DET	19	det
19	premios	NOUN	17	obj
20	anuales	ADJ	19	amod
21	a	ADP	23	case
22	las	DET	23	det
23	pymes	NOUN	17	obj
24	que	PRON	26	nsubj
25	han	AUX	26	aux
26	desarrollado	VERB	23	acl
27	proyectos	NOUN	26	obj
28	más	ADV	29	advmod
29	destacados	ADJ	27	amod
30	,	PUNCT	31	punct
31	así	ADV	0	root
32	como	SCONJ	31	fixed
33	también	NOUN	31	fixed
34	distinguió	VERB	31	parataxis
35	,	PUNCT	38	punct
36	en	ADP	38	case
37	el	DET	38	det
38	apartado	NOUN	34	obl
39	periodístico	ADJ	38	amod
40	,	PUNCT	38	punct
41	al	ADP	42	case
42	suplemento	NOUN	34	obj
43	de	ADP	44	case
44	Economía	PROPN	42	nmod
45	del	ADP	46	case
46	diario	NOUN	42	nmod
47	La	DET	48	det
48	Vanguardia	PROPN	46	appos
49	.	PUNCT	31	punct