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:
Cruells recordó que hasta el momento no existe un volumen recopilatorio de estas obras del autor y la investigación está siendo lenta porque "se ha localizado material totalmente desconocido".
Postion	Tokenization
1	Cruells
2	recordó
3	que
4	hasta
5	el
6	momento
7	no
8	existe
9	un
10	volumen
11	recopilatorio
12	de
13	estas
14	obras
15	del
16	autor
17	y
18	la
19	investigación
20	está
21	siendo
22	lenta
23	porque
24	"
25	se
26	ha
27	localizado
28	material
29	totalmente
30	desconocido
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Cruells	PROPN	2	nsubj
2	recordó	VERB	0	root
3	que	SCONJ	8	mark
4	hasta	ADP	6	case
5	el	DET	6	det
6	momento	NOUN	8	obl
7	no	ADV	8	advmod
8	existe	VERB	2	ccomp
9	un	DET	10	det
10	volumen	NOUN	8	nsubj
11	recopilatorio	ADJ	10	amod
12	de	ADP	14	case
13	estas	DET	14	det
14	obras	NOUN	10	nmod
15	del	ADP	16	case
16	autor	NOUN	14	nmod
17	y	CCONJ	22	cc
18	la	DET	19	det
19	investigación	NOUN	22	nsubj
20	está	AUX	22	aux
21	siendo	AUX	22	cop
22	lenta	ADJ	8	conj
23	porque	SCONJ	27	mark
24	"	PUNCT	27	punct
25	se	PRON	27	expl:pass
26	ha	AUX	27	aux
27	localizado	VERB	22	advcl
28	material	NOUN	27	nsubj
29	totalmente	ADV	30	advmod
30	desconocido	ADJ	28	amod
31	"	PUNCT	27	punct
32	.	PUNCT	2	punct