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:
Bonet abordó en gallego su ya conocida Campanas de Bastabales (de Rosalía de Castro) con integridad, pero Prada se quedó en una discreta intervención en catalán en Què volen aquesta gent y Per Hipòcrates.
Postion	Tokenization
1	Bonet
2	abordó
3	en
4	gallego
5	su
6	ya
7	conocida
8	Campanas
9	de
10	Bastabales
11	(
12	de
13	Rosalía
14	de
15	Castro
16	)
17	con
18	integridad
19	,
20	pero
21	Prada
22	se
23	quedó
24	en
25	una
26	discreta
27	intervención
28	en
29	catalán
30	en
31	Què
32	volen
33	aquesta
34	gent
35	y
36	Per
37	Hipòcrates
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Bonet	PROPN	2	nsubj
2	abordó	VERB	0	root
3	en	ADP	4	case
4	gallego	NOUN	2	obl
5	su	DET	8	det
6	ya	ADV	7	advmod
7	conocida	ADJ	8	amod
8	Campanas	PROPN	2	obj
9	de	ADP	10	case
10	Bastabales	PROPN	8	flat
11	(	PUNCT	13	punct
12	de	ADP	13	case
13	Rosalía	PROPN	8	nmod
14	de	ADP	15	case
15	Castro	PROPN	13	flat
16	)	PUNCT	13	punct
17	con	ADP	18	case
18	integridad	NOUN	2	obl
19	,	PUNCT	23	punct
20	pero	CCONJ	23	cc
21	Prada	PROPN	23	nsubj
22	se	PRON	23	expl:pv
23	quedó	VERB	2	conj
24	en	ADP	27	case
25	una	DET	27	det
26	discreta	ADJ	27	amod
27	intervención	NOUN	23	obl
28	en	ADP	29	case
29	catalán	NOUN	27	nmod
30	en	ADP	31	case
31	Què	PROPN	27	nmod
32	volen	PROPN	31	flat
33	aquesta	PROPN	31	flat
34	gent	PROPN	31	flat
35	y	CCONJ	37	cc
36	Per	ADP	37	case
37	Hipòcrates	PROPN	31	conj
38	.	PUNCT	2	punct