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 investigador que nunca descubre nada que no se populariza gracias a algún descubrimiento suficientemente espectacular que lo haga aparecer en algún magazine televisivo, va perdiendo las fuentes de financiación.
Postion	Tokenization
1	El
2	investigador
3	que
4	nunca
5	descubre
6	nada
7	que
8	no
9	se
10	populariza
11	gracias
12	a
13	algún
14	descubrimiento
15	suficientemente
16	espectacular
17	que
18	lo
19	haga
20	aparecer
21	en
22	algún
23	magazine
24	televisivo
25	,
26	va
27	perdiendo
28	las
29	fuentes
30	de
31	financiación
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	investigador	NOUN	27	nsubj
3	que	PRON	5	nsubj
4	nunca	ADV	5	advmod
5	descubre	VERB	2	acl
6	nada	PRON	5	obj
7	que	PRON	10	nsubj
8	no	ADV	10	advmod
9	se	PRON	10	expl:pass
10	populariza	VERB	5	advcl
11	gracias	NOUN	14	case
12	a	ADP	11	fixed
13	algún	DET	14	det
14	descubrimiento	NOUN	10	obl
15	suficientemente	ADV	16	advmod
16	espectacular	ADJ	14	amod
17	que	PRON	19	nsubj
18	lo	PRON	19	obj
19	haga	VERB	14	acl
20	aparecer	VERB	19	xcomp
21	en	ADP	23	case
22	algún	DET	23	det
23	magazine	NOUN	19	obl
24	televisivo	ADJ	23	amod
25	,	PUNCT	2	punct
26	va	AUX	27	aux
27	perdiendo	VERB	0	root
28	las	DET	29	det
29	fuentes	NOUN	27	obj
30	de	ADP	31	case
31	financiación	NOUN	29	nmod
32	.	PUNCT	27	punct