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 espectador, de 47 años, invadió la pista como protesta contra el fabricante de coches Mercedes-Benz, que le despidió por razones de salud.
Postion	Tokenization
1	El
2	espectador
3	,
4	de
5	47
6	años
7	,
8	invadió
9	la
10	pista
11	como
12	protesta
13	contra
14	el
15	fabricante
16	de
17	coches
18	Mercedes-Benz
19	,
20	que
21	le
22	despidió
23	por
24	razones
25	de
26	salud
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	espectador	NOUN	8	nsubj
3	,	PUNCT	6	punct
4	de	ADP	6	case
5	47	NUM	6	nummod
6	años	NOUN	2	nmod
7	,	PUNCT	6	punct
8	invadió	VERB	0	root
9	la	DET	10	det
10	pista	NOUN	8	obj
11	como	SCONJ	12	mark
12	protesta	NOUN	8	obl
13	contra	ADP	15	case
14	el	DET	15	det
15	fabricante	NOUN	12	nmod
16	de	ADP	17	case
17	coches	NOUN	15	nmod
18	Mercedes-Benz	PROPN	15	appos
19	,	PUNCT	22	punct
20	que	PRON	22	nsubj
21	le	PRON	22	obj
22	despidió	VERB	15	acl
23	por	ADP	24	case
24	razones	NOUN	22	obl
25	de	ADP	26	case
26	salud	NOUN	24	nmod
27	.	PUNCT	8	punct