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 presencia de más de cien mil espectadores en la ceremonia inaugural advirtió del éxito de público que podía significar estos Juegos.
Postion	Tokenization
1	La
2	presencia
3	de
4	más
5	de
6	cien
7	mil
8	espectadores
9	en
10	la
11	ceremonia
12	inaugural
13	advirtió
14	del
15	éxito
16	de
17	público
18	que
19	podía
20	significar
21	estos
22	Juegos
23	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	presencia	NOUN	13	nsubj
3	de	ADP	8	case
4	más	ADV	8	advmod
5	de	ADP	4	case
6	cien	NUM	4	nummod
7	mil	NUM	6	compound
8	espectadores	NOUN	2	nmod
9	en	ADP	11	case
10	la	DET	11	det
11	ceremonia	NOUN	2	nmod
12	inaugural	ADJ	11	amod
13	advirtió	VERB	0	root
14	del	ADP	15	case
15	éxito	NOUN	13	obj
16	de	ADP	17	case
17	público	NOUN	15	nmod
18	que	PRON	20	obj
19	podía	AUX	20	aux
20	significar	VERB	15	acl
21	estos	DET	22	det
22	Juegos	PROPN	20	nsubj
23	.	PUNCT	13	punct