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 presidente, en nombre del COI, acepta presentes, que se guardan bien en el Museo Olímpico, bien en las oficinas del COI.
Postion	Tokenization
1	"
2	El
3	presidente
4	,
5	en
6	nombre
7	del
8	COI
9	,
10	acepta
11	presentes
12	,
13	que
14	se
15	guardan
16	bien
17	en
18	el
19	Museo
20	Olímpico
21	,
22	bien
23	en
24	las
25	oficinas
26	del
27	COI
28	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	10	punct
2	El	DET	3	det
3	presidente	NOUN	10	nsubj
4	,	PUNCT	8	punct
5	en	ADP	8	case
6	nombre	NOUN	5	fixed
7	del	ADP	5	fixed
8	COI	PROPN	10	obl
9	,	PUNCT	8	punct
10	acepta	VERB	0	root
11	presentes	NOUN	10	obj
12	,	PUNCT	15	punct
13	que	PRON	15	nsubj
14	se	PRON	15	expl:pass
15	guardan	VERB	11	acl
16	bien	CCONJ	19	cc
17	en	ADP	19	case
18	el	DET	19	det
19	Museo	PROPN	15	obl
20	Olímpico	PROPN	19	flat
21	,	PUNCT	25	punct
22	bien	CCONJ	25	cc
23	en	ADP	25	case
24	las	DET	25	det
25	oficinas	NOUN	19	conj
26	del	ADP	27	case
27	COI	PROPN	25	nmod
28	.	PUNCT	10	punct