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:
Edie, con 94 años, y aunque enferma, tuvo tiempo de ver los Juegos, pero el 9 de octubre su corazón se detuvo para siempre.
Postion	Tokenization
1	Edie
2	,
3	con
4	94
5	años
6	,
7	y
8	aunque
9	enferma
10	,
11	tuvo
12	tiempo
13	de
14	ver
15	los
16	Juegos
17	,
18	pero
19	el
20	9
21	de
22	octubre
23	su
24	corazón
25	se
26	detuvo
27	para
28	siempre
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Edie	PROPN	11	nsubj
2	,	PUNCT	5	punct
3	con	ADP	5	case
4	94	NUM	5	nummod
5	años	NOUN	1	nmod
6	,	PUNCT	9	punct
7	y	CCONJ	9	cc
8	aunque	SCONJ	9	mark
9	enferma	ADJ	5	conj
10	,	PUNCT	5	punct
11	tuvo	VERB	0	root
12	tiempo	NOUN	11	obj
13	de	ADP	14	mark
14	ver	VERB	12	acl
15	los	DET	16	det
16	Juegos	PROPN	14	obj
17	,	PUNCT	26	punct
18	pero	CCONJ	26	cc
19	el	DET	20	det
20	9	NUM	26	obl
21	de	ADP	22	case
22	octubre	NOUN	20	compound
23	su	DET	24	det
24	corazón	NOUN	26	nsubj
25	se	PRON	26	expl:pv
26	detuvo	VERB	11	conj
27	para	ADP	28	case
28	siempre	ADV	26	advmod
29	.	PUNCT	11	punct