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:
La beneficiaria del milagro que le ha valido a Juan XXIII la proclamación de beato es la monja Caterina Capitani, una de las estrellas de la ceremonia de esta mañana en la plaza de San Pedro.
Postion	Tokenization
1	La
2	beneficiaria
3	del
4	milagro
5	que
6	le
7	ha
8	valido
9	a
10	Juan
11	XXIII
12	la
13	proclamación
14	de
15	beato
16	es
17	la
18	monja
19	Caterina
20	Capitani
21	,
22	una
23	de
24	las
25	estrellas
26	de
27	la
28	ceremonia
29	de
30	esta
31	mañana
32	en
33	la
34	plaza
35	de
36	San
37	Pedro
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	beneficiaria	ADJ	18	nsubj
3	del	ADP	4	case
4	milagro	NOUN	2	nmod
5	que	PRON	8	nsubj
6	le	PRON	8	obj
7	ha	AUX	8	aux
8	valido	VERB	4	acl
9	a	ADP	10	case
10	Juan	PROPN	8	obj
11	XXIII	PROPN	10	flat
12	la	DET	13	det
13	proclamación	NOUN	8	obj
14	de	ADP	15	case
15	beato	NOUN	13	nmod
16	es	AUX	18	cop
17	la	DET	18	det
18	monja	NOUN	0	root
19	Caterina	PROPN	18	appos
20	Capitani	PROPN	19	flat
21	,	PUNCT	22	punct
22	una	PRON	18	appos
23	de	ADP	25	case
24	las	DET	25	det
25	estrellas	NOUN	22	nmod
26	de	ADP	28	case
27	la	DET	28	det
28	ceremonia	NOUN	25	nmod
29	de	ADP	31	case
30	esta	DET	31	det
31	mañana	NOUN	28	nmod
32	en	ADP	34	case
33	la	DET	34	det
34	plaza	NOUN	28	nmod
35	de	ADP	36	case
36	San	PROPN	34	nmod
37	Pedro	PROPN	36	flat
38	.	PUNCT	18	punct