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:
Los promotores del evento informaron que la tripulación del ARC`2000 asciende a 1.200 participantes, con una media de 4,5 por embarcación, 23 de ellos menores de dieciséis años, siendo la más joven la niña Jessica Blatter, que tiene un año y viaja en el barco inglés "Tatopani".
Postion	Tokenization
1	Los
2	promotores
3	del
4	evento
5	informaron
6	que
7	la
8	tripulación
9	del
10	ARC`2000
11	asciende
12	a
13	1.200
14	participantes
15	,
16	con
17	una
18	media
19	de
20	4,5
21	por
22	embarcación
23	,
24	23
25	de
26	ellos
27	menores
28	de
29	dieciséis
30	años
31	,
32	siendo
33	la
34	más
35	joven
36	la
37	niña
38	Jessica
39	Blatter
40	,
41	que
42	tiene
43	un
44	año
45	y
46	viaja
47	en
48	el
49	barco
50	inglés
51	"
52	Tatopani
53	"
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	promotores	NOUN	5	nsubj
3	del	ADP	4	case
4	evento	NOUN	2	nmod
5	informaron	VERB	0	root
6	que	SCONJ	11	mark
7	la	DET	8	det
8	tripulación	NOUN	11	nsubj
9	del	ADP	10	case
10	ARC`2000	PROPN	8	nmod
11	asciende	VERB	5	ccomp
12	a	ADP	14	case
13	1.200	NUM	14	nummod
14	participantes	NOUN	11	obj
15	,	PUNCT	18	punct
16	con	ADP	18	case
17	una	DET	18	det
18	media	NUM	14	nummod
19	de	ADP	20	case
20	4,5	NUM	18	nummod
21	por	ADP	22	case
22	embarcación	NOUN	20	nmod
23	,	PUNCT	18	punct
24	23	NUM	14	appos
25	de	ADP	26	case
26	ellos	PRON	24	nmod
27	menores	ADJ	24	amod
28	de	ADP	30	case
29	dieciséis	NUM	30	nummod
30	años	NOUN	27	nmod
31	,	PUNCT	35	punct
32	siendo	AUX	35	cop
33	la	DET	35	det
34	más	ADV	35	advmod
35	joven	ADJ	24	advcl
36	la	DET	37	det
37	niña	NOUN	35	nsubj
38	Jessica	PROPN	37	appos
39	Blatter	PROPN	38	flat
40	,	PUNCT	42	punct
41	que	PRON	42	nsubj
42	tiene	VERB	37	acl
43	un	DET	44	det
44	año	NOUN	42	obj
45	y	CCONJ	46	cc
46	viaja	VERB	42	conj
47	en	ADP	49	case
48	el	DET	49	det
49	barco	NOUN	46	obl
50	inglés	ADJ	49	amod
51	"	PUNCT	52	punct
52	Tatopani	PROPN	49	appos
53	"	PUNCT	52	punct
54	.	PUNCT	5	punct