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:
Para estar cerca de los oncólogos se instaló en casa de unos familiares en San Juan de Puerto Rico, donde falleció.
Postion	Tokenization
1	Para
2	estar
3	cerca
4	de
5	los
6	oncólogos
7	se
8	instaló
9	en
10	casa
11	de
12	unos
13	familiares
14	en
15	San
16	Juan
17	de
18	Puerto
19	Rico
20	,
21	donde
22	falleció
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	estar	VERB	8	advcl
3	cerca	ADV	2	advmod
4	de	ADP	6	case
5	los	DET	6	det
6	oncólogos	NOUN	3	obl
7	se	PRON	8	expl:pv
8	instaló	VERB	0	root
9	en	ADP	10	case
10	casa	NOUN	8	obl
11	de	ADP	13	case
12	unos	DET	13	det
13	familiares	NOUN	10	nmod
14	en	ADP	15	case
15	San	PROPN	10	nmod
16	Juan	PROPN	15	flat
17	de	ADP	18	case
18	Puerto	PROPN	15	flat
19	Rico	PROPN	15	flat
20	,	PUNCT	22	punct
21	donde	PRON	22	obl
22	falleció	VERB	15	acl
23	.	PUNCT	8	punct