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:
"Ni un árbol de Navidad a la basura", proclamó ayer Imma Mayol, presidenta de la Comisión de Sostenibilidad y Ecología Urbana del Ayuntamiento de Barcelona.
Postion	Tokenization
1	"
2	Ni
3	un
4	árbol
5	de
6	Navidad
7	a
8	la
9	basura
10	"
11	,
12	proclamó
13	ayer
14	Imma
15	Mayol
16	,
17	presidenta
18	de
19	la
20	Comisión
21	de
22	Sostenibilidad
23	y
24	Ecología
25	Urbana
26	del
27	Ayuntamiento
28	de
29	Barcelona
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Ni	CCONJ	4	cc
3	un	DET	4	det
4	árbol	NOUN	12	ccomp
5	de	ADP	6	case
6	Navidad	PROPN	4	nmod
7	a	ADP	9	case
8	la	DET	9	det
9	basura	NOUN	4	nmod
10	"	PUNCT	4	punct
11	,	PUNCT	12	punct
12	proclamó	VERB	0	root
13	ayer	ADV	12	advmod
14	Imma	PROPN	12	nsubj
15	Mayol	PROPN	14	flat
16	,	PUNCT	17	punct
17	presidenta	NOUN	14	appos
18	de	ADP	20	case
19	la	DET	20	det
20	Comisión	PROPN	17	nmod
21	de	ADP	22	case
22	Sostenibilidad	PROPN	20	flat
23	y	CCONJ	24	cc
24	Ecología	PROPN	22	conj
25	Urbana	PROPN	24	flat
26	del	ADP	27	case
27	Ayuntamiento	PROPN	20	nmod
28	de	ADP	29	case
29	Barcelona	PROPN	27	flat
30	.	PUNCT	12	punct