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 último postulador de la causa, Luca de Rosa, ha reconocido que, aunque la causa de beatificación no llegó a detenerse, ha estado plagada de tiempos muertos.
Postion	Tokenization
1	El
2	último
3	postulador
4	de
5	la
6	causa
7	,
8	Luca
9	de
10	Rosa
11	,
12	ha
13	reconocido
14	que
15	,
16	aunque
17	la
18	causa
19	de
20	beatificación
21	no
22	llegó
23	a
24	detenerse
25	detener
26	se
27	,
28	ha
29	estado
30	plagada
31	de
32	tiempos
33	muertos
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	último	ADJ	3	amod
3	postulador	NOUN	13	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	causa	NOUN	3	nmod
7	,	PUNCT	8	punct
8	Luca	PROPN	3	appos
9	de	ADP	10	case
10	Rosa	PROPN	8	flat
11	,	PUNCT	8	punct
12	ha	AUX	13	aux
13	reconocido	VERB	0	root
14	que	SCONJ	29	mark
15	,	PUNCT	22	punct
16	aunque	SCONJ	22	mark
17	la	DET	18	det
18	causa	NOUN	22	nsubj
19	de	ADP	20	case
20	beatificación	NOUN	18	nmod
21	no	ADV	22	advmod
22	llegó	VERB	29	advcl
23	a	ADP	24	mark
24	detenerse	_	None	_
25	detener	VERB	22	xcomp
26	se	PRON	24	expl:pv
27	,	PUNCT	22	punct
28	ha	AUX	29	aux
29	estado	AUX	29	cop
30	plagada	ADJ	13	ccomp
31	de	ADP	31	case
32	tiempos	NOUN	29	obl
33	muertos	ADJ	31	amod
34	.	PUNCT	13	punct