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:
Mayol añadió que quienes sigan optando por este árbol podrán entregarlo, tras las fiestas, en uno de los 200 puntos que se instalarán en la ciudad con el objetivo de replantarlos o utilizarlos para compostaje.
Postion	Tokenization
1	Mayol
2	añadió
3	que
4	quienes
5	sigan
6	optando
7	por
8	este
9	árbol
10	podrán
11	entregarlo
12	entregar
13	lo
14	,
15	tras
16	las
17	fiestas
18	,
19	en
20	uno
21	de
22	los
23	200
24	puntos
25	que
26	se
27	instalarán
28	en
29	la
30	ciudad
31	con
32	el
33	objetivo
34	de
35	replantarlos
36	replantar
37	los
38	o
39	utilizarlos
40	utilizar
41	los
42	para
43	compostaje
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Mayol	PROPN	2	nsubj
2	añadió	VERB	0	root
3	que	SCONJ	11	mark
4	quienes	PRON	5	nsubj
5	sigan	VERB	11	csubj
6	optando	VERB	5	xcomp
7	por	ADP	9	case
8	este	DET	9	det
9	árbol	NOUN	6	obj
10	podrán	AUX	11	aux
11	entregarlo	_	None	_
12	entregar	VERB	2	ccomp
13	lo	PRON	11	obj
14	,	PUNCT	16	punct
15	tras	ADP	16	case
16	las	DET	16	det
17	fiestas	NOUN	11	obl
18	,	PUNCT	16	punct
19	en	ADP	19	case
20	uno	PRON	11	obl
21	de	ADP	23	case
22	los	DET	22	det
23	200	NUM	23	nummod
24	puntos	NOUN	19	nmod
25	que	PRON	26	nsubj
26	se	PRON	26	expl:pass
27	instalarán	VERB	23	acl
28	en	ADP	29	case
29	la	DET	29	det
30	ciudad	NOUN	26	obl
31	con	ADP	34	mark
32	el	DET	30	fixed
33	objetivo	NOUN	30	fixed
34	de	ADP	30	fixed
35	replantarlos	_	None	_
36	replantar	VERB	26	advcl
37	los	PRON	34	obj
38	o	CCONJ	37	cc
39	utilizarlos	_	None	_
40	utilizar	VERB	34	conj
41	los	PRON	37	obj
42	para	ADP	40	case
43	compostaje	NOUN	37	obl
44	.	PUNCT	2	punct