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 juez está a la espera de tomar estas declaraciones para citar a declarar a los responsables del colegio Badalonès, donde estudiaban los pequeños.
Postion	Tokenization
1	La
2	juez
3	está
4	a
5	la
6	espera
7	de
8	tomar
9	estas
10	declaraciones
11	para
12	citar
13	a
14	declarar
15	a
16	los
17	responsables
18	del
19	colegio
20	Badalonès
21	,
22	donde
23	estudiaban
24	los
25	pequeños
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	juez	NOUN	3	nsubj
3	está	VERB	0	root
4	a	ADP	8	mark
5	la	DET	4	fixed
6	espera	NOUN	4	fixed
7	de	ADP	4	fixed
8	tomar	VERB	3	ccomp
9	estas	DET	10	det
10	declaraciones	NOUN	8	obj
11	para	ADP	12	mark
12	citar	VERB	3	advcl
13	a	ADP	14	mark
14	declarar	VERB	12	advcl
15	a	ADP	17	case
16	los	DET	17	det
17	responsables	NOUN	12	obj
18	del	ADP	19	case
19	colegio	NOUN	17	nmod
20	Badalonès	PROPN	19	appos
21	,	PUNCT	23	punct
22	donde	PRON	23	obl
23	estudiaban	VERB	19	acl
24	los	DET	25	det
25	pequeños	ADJ	23	nsubj
26	.	PUNCT	3	punct