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 consistorio pide a la concesionaria Acesa su reparación porque el Ministerio de Fomento afirma que forma parte de la autopista.
Postion	Tokenization
1	El
2	consistorio
3	pide
4	a
5	la
6	concesionaria
7	Acesa
8	su
9	reparación
10	porque
11	el
12	Ministerio
13	de
14	Fomento
15	afirma
16	que
17	forma
18	parte
19	de
20	la
21	autopista
22	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	consistorio	NOUN	3	nsubj
3	pide	VERB	0	root
4	a	ADP	6	case
5	la	DET	6	det
6	concesionaria	NOUN	3	obj
7	Acesa	PROPN	6	appos
8	su	DET	9	det
9	reparación	NOUN	3	obj
10	porque	SCONJ	15	mark
11	el	DET	12	det
12	Ministerio	PROPN	15	nsubj
13	de	ADP	14	case
14	Fomento	PROPN	12	flat
15	afirma	VERB	3	advcl
16	que	SCONJ	17	mark
17	forma	VERB	15	ccomp
18	parte	NOUN	17	compound
19	de	ADP	21	case
20	la	DET	21	det
21	autopista	NOUN	17	obj
22	.	PUNCT	3	punct