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 cuarta teniente de alcalde (IC-V) animó a los barceloneses a promover unas fiestas más ecológicas mediante el uso de especies mediterráneas, que tienen muchas más posibilidades de sobrevivir que el tradicional abeto.
Postion	Tokenization
1	La
2	cuarta
3	teniente
4	de
5	alcalde
6	(
7	IC-V
8	)
9	animó
10	a
11	los
12	barceloneses
13	a
14	promover
15	unas
16	fiestas
17	más
18	ecológicas
19	mediante
20	el
21	uso
22	de
23	especies
24	mediterráneas
25	,
26	que
27	tienen
28	muchas
29	más
30	posibilidades
31	de
32	sobrevivir
33	que
34	el
35	tradicional
36	abeto
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	cuarta	ADJ	3	amod
3	teniente	NOUN	9	nsubj
4	de	ADP	5	case
5	alcalde	NOUN	3	nmod
6	(	PUNCT	7	punct
7	IC-V	PROPN	3	appos
8	)	PUNCT	7	punct
9	animó	VERB	0	root
10	a	ADP	12	case
11	los	DET	12	det
12	barceloneses	NOUN	9	iobj
13	a	ADP	14	mark
14	promover	VERB	9	xcomp
15	unas	DET	16	det
16	fiestas	NOUN	14	obj
17	más	ADV	18	advmod
18	ecológicas	ADJ	16	amod
19	mediante	ADP	21	case
20	el	DET	21	det
21	uso	NOUN	14	obl
22	de	ADP	23	case
23	especies	NOUN	21	nmod
24	mediterráneas	ADJ	23	amod
25	,	PUNCT	27	punct
26	que	PRON	27	nsubj
27	tienen	VERB	23	acl
28	muchas	DET	30	det
29	más	ADV	28	advmod
30	posibilidades	NOUN	27	obj
31	de	ADP	32	mark
32	sobrevivir	VERB	30	acl
33	que	SCONJ	36	mark
34	el	DET	36	det
35	tradicional	ADJ	36	amod
36	abeto	NOUN	30	nmod
37	.	PUNCT	9	punct