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:
En otras palabras, John Barry se quedó en casa y fue David Bowie quien supervisó todos y cada uno de los arreglos e inflexiones vocales de Louis Eliot.
Postion	Tokenization
1	En
2	otras
3	palabras
4	,
5	John
6	Barry
7	se
8	quedó
9	en
10	casa
11	y
12	fue
13	David
14	Bowie
15	quien
16	supervisó
17	todos
18	y
19	cada
20	uno
21	de
22	los
23	arreglos
24	e
25	inflexiones
26	vocales
27	de
28	Louis
29	Eliot
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	otras	DET	3	det
3	palabras	NOUN	8	obl
4	,	PUNCT	3	punct
5	John	PROPN	8	nsubj
6	Barry	PROPN	5	flat
7	se	PRON	8	expl:pv
8	quedó	VERB	0	root
9	en	ADP	10	case
10	casa	NOUN	8	obl
11	y	CCONJ	12	cc
12	fue	AUX	8	conj
13	David	PROPN	12	nsubj
14	Bowie	PROPN	13	flat
15	quien	PRON	16	nsubj
16	supervisó	VERB	12	ccomp
17	todos	PRON	16	obj
18	y	CCONJ	20	cc
19	cada	DET	20	det
20	uno	PRON	17	conj
21	de	ADP	23	case
22	los	DET	23	det
23	arreglos	NOUN	20	nmod
24	e	CCONJ	25	cc
25	inflexiones	NOUN	23	conj
26	vocales	ADJ	25	amod
27	de	ADP	28	case
28	Louis	PROPN	23	nmod
29	Eliot	PROPN	28	flat
30	.	PUNCT	8	punct