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 director de CASA, Mick Toller, informó de que estaban a la espera de que lleguen especialistas de Europa y Estados Unidos para determinar la fiabilidad del examen presentado por Mobil.
Postion	Tokenization
1	El
2	director
3	de
4	CASA
5	,
6	Mick
7	Toller
8	,
9	informó
10	de
11	que
12	estaban
13	a
14	la
15	espera
16	de
17	que
18	lleguen
19	especialistas
20	de
21	Europa
22	y
23	Estados
24	Unidos
25	para
26	determinar
27	la
28	fiabilidad
29	del
30	examen
31	presentado
32	por
33	Mobil
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	director	NOUN	9	nsubj
3	de	ADP	4	case
4	CASA	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Mick	PROPN	2	appos
7	Toller	PROPN	6	flat
8	,	PUNCT	6	punct
9	informó	VERB	0	root
10	de	ADP	12	mark
11	que	SCONJ	12	mark
12	estaban	VERB	9	ccomp
13	a	ADP	18	mark
14	la	DET	13	fixed
15	espera	NOUN	13	fixed
16	de	ADP	13	fixed
17	que	SCONJ	18	mark
18	lleguen	VERB	12	ccomp
19	especialistas	NOUN	18	nsubj
20	de	ADP	21	case
21	Europa	PROPN	19	nmod
22	y	CCONJ	23	cc
23	Estados	PROPN	21	conj
24	Unidos	PROPN	23	flat
25	para	ADP	26	mark
26	determinar	VERB	18	advcl
27	la	DET	28	det
28	fiabilidad	NOUN	26	obj
29	del	ADP	30	case
30	examen	NOUN	28	nmod
31	presentado	ADJ	30	amod
32	por	ADP	33	case
33	Mobil	PROPN	31	obj
34	.	PUNCT	9	punct