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:
El plan de Mejía implica una subida de los impuestos al consumo, una reforma arancelaria y tributaria y un gravamen considerable a los vehículos, entre otras medidas.
Postion	Tokenization
1	El
2	plan
3	de
4	Mejía
5	implica
6	una
7	subida
8	de
9	los
10	impuestos
11	al
12	consumo
13	,
14	una
15	reforma
16	arancelaria
17	y
18	tributaria
19	y
20	un
21	gravamen
22	considerable
23	a
24	los
25	vehículos
26	,
27	entre
28	otras
29	medidas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	plan	NOUN	5	nsubj
3	de	ADP	4	case
4	Mejía	PROPN	2	nmod
5	implica	VERB	0	root
6	una	DET	7	det
7	subida	NOUN	5	obj
8	de	ADP	10	case
9	los	DET	10	det
10	impuestos	NOUN	7	nmod
11	al	ADP	12	case
12	consumo	NOUN	10	nmod
13	,	PUNCT	15	punct
14	una	DET	15	det
15	reforma	NOUN	7	appos
16	arancelaria	ADJ	15	amod
17	y	CCONJ	18	cc
18	tributaria	ADJ	16	conj
19	y	CCONJ	21	cc
20	un	DET	21	det
21	gravamen	NOUN	7	conj
22	considerable	ADJ	21	amod
23	a	ADP	25	case
24	los	DET	25	det
25	vehículos	NOUN	21	nmod
26	,	PUNCT	29	punct
27	entre	ADP	29	case
28	otras	DET	29	det
29	medidas	NOUN	7	nmod
30	.	PUNCT	5	punct