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:
El representante de la Autoridad Portuaria, Manuel Vidal, también se congratuló por la continuidad del evento, al que aseguró mejores prestaciones y servicios para próximas ediciones, ya que próximamente se iniciarán las obras para duplicar el atraque del Muelle Deportivo, que en la actualidad acoge a mil embarcaciones.
Postion	Tokenization
1	El
2	representante
3	de
4	la
5	Autoridad
6	Portuaria
7	,
8	Manuel
9	Vidal
10	,
11	también
12	se
13	congratuló
14	por
15	la
16	continuidad
17	del
18	evento
19	,
20	al
21	que
22	aseguró
23	mejores
24	prestaciones
25	y
26	servicios
27	para
28	próximas
29	ediciones
30	,
31	ya
32	que
33	próximamente
34	se
35	iniciarán
36	las
37	obras
38	para
39	duplicar
40	el
41	atraque
42	del
43	Muelle
44	Deportivo
45	,
46	que
47	en
48	la
49	actualidad
50	acoge
51	a
52	mil
53	embarcaciones
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	representante	NOUN	13	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Autoridad	PROPN	2	nmod
6	Portuaria	PROPN	5	flat
7	,	PUNCT	8	punct
8	Manuel	PROPN	2	appos
9	Vidal	PROPN	8	flat
10	,	PUNCT	8	punct
11	también	ADV	13	advmod
12	se	PRON	13	expl:pass
13	congratuló	VERB	0	root
14	por	ADP	16	case
15	la	DET	16	det
16	continuidad	NOUN	13	obl
17	del	ADP	18	case
18	evento	NOUN	16	nmod
19	,	PUNCT	22	punct
20	al	ADP	21	case
21	que	PRON	22	obj
22	aseguró	VERB	18	acl
23	mejores	ADJ	24	amod
24	prestaciones	NOUN	22	obj
25	y	CCONJ	26	cc
26	servicios	NOUN	24	conj
27	para	ADP	29	case
28	próximas	ADJ	29	amod
29	ediciones	NOUN	22	obl
30	,	PUNCT	35	punct
31	ya	ADV	35	mark
32	que	SCONJ	31	fixed
33	próximamente	ADV	35	advmod
34	se	PRON	35	expl:pass
35	iniciarán	VERB	22	advcl
36	las	DET	37	det
37	obras	NOUN	35	nsubj
38	para	ADP	39	mark
39	duplicar	VERB	37	acl
40	el	DET	41	det
41	atraque	NOUN	39	obj
42	del	ADP	43	case
43	Muelle	PROPN	41	nmod
44	Deportivo	PROPN	43	flat
45	,	PUNCT	50	punct
46	que	PRON	50	nsubj
47	en	ADP	49	case
48	la	DET	49	det
49	actualidad	NOUN	50	obl
50	acoge	VERB	43	acl
51	a	ADP	53	case
52	mil	NUM	53	nummod
53	embarcaciones	NOUN	50	obj
54	.	PUNCT	13	punct