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 interpretación de la Comisión Europea ha coincidido totalmente con las tesis de nuestros estudios jurídicos ", indicó el presidente de la ACB.
Postion	Tokenization
1	La
2	interpretación
3	de
4	la
5	Comisión
6	Europea
7	ha
8	coincidido
9	totalmente
10	con
11	las
12	tesis
13	de
14	nuestros
15	estudios
16	jurídicos
17	"
18	,
19	indicó
20	el
21	presidente
22	de
23	la
24	ACB
25	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	interpretación	NOUN	8	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Comisión	PROPN	2	nmod
6	Europea	PROPN	5	flat
7	ha	AUX	8	aux
8	coincidido	VERB	19	ccomp
9	totalmente	ADV	8	advmod
10	con	ADP	12	case
11	las	DET	12	det
12	tesis	NOUN	8	obj
13	de	ADP	15	case
14	nuestros	DET	15	det
15	estudios	NOUN	12	nmod
16	jurídicos	ADJ	15	amod
17	"	PUNCT	8	punct
18	,	PUNCT	8	punct
19	indicó	VERB	0	root
20	el	DET	21	det
21	presidente	NOUN	19	nsubj
22	de	ADP	24	case
23	la	DET	24	det
24	ACB	PROPN	21	nmod
25	.	PUNCT	19	punct