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:
Norber Haug, director de Mercedes, se mostró "decepcionado porque los responsables para la seguridad de los coches no se hubieran llevado al espectador antes de que comenzara la carrera".
Postion	Tokenization
1	Norber
2	Haug
3	,
4	director
5	de
6	Mercedes
7	,
8	se
9	mostró
10	"
11	decepcionado
12	porque
13	los
14	responsables
15	para
16	la
17	seguridad
18	de
19	los
20	coches
21	no
22	se
23	hubieran
24	llevado
25	al
26	espectador
27	antes
28	de
29	que
30	comenzara
31	la
32	carrera
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Norber	PROPN	9	nsubj
2	Haug	PROPN	1	flat
3	,	PUNCT	4	punct
4	director	NOUN	1	appos
5	de	ADP	6	case
6	Mercedes	PROPN	4	nmod
7	,	PUNCT	4	punct
8	se	PRON	9	expl:pv
9	mostró	VERB	0	root
10	"	PUNCT	9	punct
11	decepcionado	ADJ	9	obj
12	porque	SCONJ	24	mark
13	los	DET	14	det
14	responsables	NOUN	24	nsubj
15	para	ADP	17	case
16	la	DET	17	det
17	seguridad	NOUN	14	nmod
18	de	ADP	20	case
19	los	DET	20	det
20	coches	NOUN	17	nmod
21	no	ADV	24	advmod
22	se	PRON	24	iobj
23	hubieran	AUX	24	aux
24	llevado	VERB	9	advcl
25	al	ADP	26	case
26	espectador	NOUN	24	obj
27	antes	ADV	24	advmod
28	de	ADP	30	mark
29	que	SCONJ	30	mark
30	comenzara	VERB	27	advcl
31	la	DET	32	det
32	carrera	NOUN	30	nsubj
33	"	PUNCT	9	punct
34	.	PUNCT	9	punct