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 neonatos tienen que tener la oportunidad de convertirse, gracias a sus nombres, en mémoris ambulantes de los avatares de la Historia.
Postion	Tokenization
1	Los
2	neonatos
3	tienen
4	que
5	tener
6	la
7	oportunidad
8	de
9	convertirse
10	convertir
11	se
12	,
13	gracias
14	a
15	sus
16	nombres
17	,
18	en
19	mémoris
20	ambulantes
21	de
22	los
23	avatares
24	de
25	la
26	Historia
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	neonatos	NOUN	5	nsubj
3	tienen	VERB	0	root
4	que	SCONJ	5	cc
5	tener	VERB	3	conj
6	la	DET	7	det
7	oportunidad	NOUN	5	obj
8	de	ADP	9	mark
9	convertirse	_	None	_
10	convertir	VERB	7	acl
11	se	PRON	9	expl:pv
12	,	PUNCT	15	punct
13	gracias	NOUN	15	case
14	a	ADP	12	fixed
15	sus	DET	15	det
16	nombres	NOUN	9	obl
17	,	PUNCT	15	punct
18	en	ADP	18	case
19	mémoris	NOUN	9	obj
20	ambulantes	ADJ	18	amod
21	de	ADP	22	case
22	los	DET	22	det
23	avatares	NOUN	18	nmod
24	de	ADP	25	case
25	la	DET	25	det
26	Historia	PROPN	22	nmod
27	.	PUNCT	3	punct