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 insólita experiencia promovida por Parcs i Jardins ha tenido un éxito insospechado, ya que genera frutas y verduras suficientes para abastecer a más de 30 familias.
Postion	Tokenization
1	La
2	insólita
3	experiencia
4	promovida
5	por
6	Parcs
7	i
8	Jardins
9	ha
10	tenido
11	un
12	éxito
13	insospechado
14	,
15	ya
16	que
17	genera
18	frutas
19	y
20	verduras
21	suficientes
22	para
23	abastecer
24	a
25	más
26	de
27	30
28	familias
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	insólita	ADJ	3	amod
3	experiencia	NOUN	10	nsubj
4	promovida	ADJ	3	amod
5	por	ADP	6	case
6	Parcs	PROPN	4	obj
7	i	CCONJ	8	cc
8	Jardins	PROPN	6	conj
9	ha	AUX	10	aux
10	tenido	VERB	0	root
11	un	DET	12	det
12	éxito	NOUN	10	obj
13	insospechado	ADJ	12	amod
14	,	PUNCT	17	punct
15	ya	ADV	17	mark
16	que	SCONJ	15	fixed
17	genera	VERB	10	advcl
18	frutas	NOUN	17	obj
19	y	CCONJ	20	cc
20	verduras	NOUN	18	conj
21	suficientes	ADJ	18	amod
22	para	ADP	23	mark
23	abastecer	VERB	21	acl
24	a	ADP	25	case
25	más	ADV	28	advmod
26	de	ADP	25	case
27	30	NUM	25	nummod
28	familias	NOUN	23	obj
29	.	PUNCT	10	punct