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:
Luego, estuvo 14 años viviendo en Barcelona, para retirarse finalmente a su Santanyí natal, al lado de su madre".
Postion	Tokenization
1	Luego
2	,
3	estuvo
4	14
5	años
6	viviendo
7	en
8	Barcelona
9	,
10	para
11	retirarse
12	retirar
13	se
14	finalmente
15	a
16	su
17	Santanyí
18	natal
19	,
20	al
21	lado
22	de
23	su
24	madre
25	"
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Luego	ADV	6	advmod
2	,	PUNCT	1	punct
3	estuvo	AUX	6	aux
4	14	NUM	5	nummod
5	años	NOUN	6	obl
6	viviendo	VERB	0	root
7	en	ADP	8	case
8	Barcelona	PROPN	6	obl
9	,	PUNCT	11	punct
10	para	ADP	11	mark
11	retirarse	_	None	_
12	retirar	VERB	6	advcl
13	se	PRON	11	expl:pv
14	finalmente	ADV	11	advmod
15	a	ADP	16	case
16	su	DET	16	det
17	Santanyí	PROPN	11	obl
18	natal	ADJ	16	amod
19	,	PUNCT	23	punct
20	al	ADP	23	case
21	lado	NOUN	19	fixed
22	de	ADP	19	fixed
23	su	DET	23	det
24	madre	NOUN	11	obl
25	"	PUNCT	6	punct
26	.	PUNCT	6	punct