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 gente se lo deja crecer para suplir una carencia pero, en definitiva esa carencia es siempre imaginaria.
Postion	Tokenization
1	La
2	gente
3	se
4	lo
5	deja
6	crecer
7	para
8	suplir
9	una
10	carencia
11	pero
12	,
13	en
14	definitiva
15	esa
16	carencia
17	es
18	siempre
19	imaginaria
20	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	gente	NOUN	5	nsubj
3	se	PRON	5	iobj
4	lo	PRON	5	nsubj
5	deja	VERB	0	root
6	crecer	VERB	5	xcomp
7	para	ADP	8	mark
8	suplir	VERB	5	advcl
9	una	DET	10	det
10	carencia	NOUN	8	obj
11	pero	CCONJ	19	cc
12	,	PUNCT	19	punct
13	en	ADP	19	advmod
14	definitiva	NOUN	13	fixed
15	esa	DET	16	det
16	carencia	NOUN	19	nsubj
17	es	AUX	19	cop
18	siempre	ADV	19	advmod
19	imaginaria	ADJ	5	conj
20	.	PUNCT	5	punct