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:
"La intención es reconocer el gran prestigio que tiene la prueba de maratón y unirlo a la Ceremonia de Apertura con esta gran carrera.
Postion	Tokenization
1	"
2	La
3	intención
4	es
5	reconocer
6	el
7	gran
8	prestigio
9	que
10	tiene
11	la
12	prueba
13	de
14	maratón
15	y
16	unirlo
17	unir
18	lo
19	a
20	la
21	Ceremonia
22	de
23	Apertura
24	con
25	esta
26	gran
27	carrera
28	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	La	DET	3	det
3	intención	NOUN	4	nsubj
4	es	AUX	0	root
5	reconocer	VERB	4	ccomp
6	el	DET	8	det
7	gran	ADJ	8	amod
8	prestigio	NOUN	5	obj
9	que	PRON	10	obj
10	tiene	VERB	8	acl
11	la	DET	12	det
12	prueba	NOUN	10	nsubj
13	de	ADP	14	case
14	maratón	NOUN	12	nmod
15	y	CCONJ	16	cc
16	unirlo	_	None	_
17	unir	VERB	5	conj
18	lo	PRON	16	obj
19	a	ADP	20	case
20	la	DET	20	det
21	Ceremonia	PROPN	16	obj
22	de	ADP	22	case
23	Apertura	PROPN	20	flat
24	con	ADP	26	case
25	esta	DET	26	det
26	gran	ADJ	26	amod
27	carrera	NOUN	16	obl
28	.	PUNCT	4	punct