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:
Castro se desplazó a la localidad de Santa María del Mar, situada a poco más de 20 kilómetros al este de La Habana, y apareció en la playa, vestido con su tradicional uniforme verde olivo, ante el asombro de los turistas que se encontraban en ella.
Postion	Tokenization
1	Castro
2	se
3	desplazó
4	a
5	la
6	localidad
7	de
8	Santa
9	María
10	del
11	Mar
12	,
13	situada
14	a
15	poco
16	más
17	de
18	20
19	kilómetros
20	al
21	este
22	de
23	La
24	Habana
25	,
26	y
27	apareció
28	en
29	la
30	playa
31	,
32	vestido
33	con
34	su
35	tradicional
36	uniforme
37	verde
38	olivo
39	,
40	ante
41	el
42	asombro
43	de
44	los
45	turistas
46	que
47	se
48	encontraban
49	en
50	ella
51	.
Position	Tokenization	UPOS	Head	Deprel
1	Castro	PROPN	3	nsubj
2	se	PRON	3	expl:pv
3	desplazó	VERB	0	root
4	a	ADP	6	case
5	la	DET	6	det
6	localidad	NOUN	3	obl
7	de	ADP	8	case
8	Santa	PROPN	6	nmod
9	María	PROPN	8	flat
10	del	ADP	11	case
11	Mar	PROPN	8	flat
12	,	PUNCT	13	punct
13	situada	ADJ	6	amod
14	a	ADP	19	case
15	poco	ADV	19	advmod
16	más	ADV	15	advmod
17	de	ADP	15	case
18	20	NUM	15	nummod
19	kilómetros	NOUN	13	obl
20	al	ADP	21	case
21	este	NOUN	13	obl
22	de	ADP	24	case
23	La	DET	24	det
24	Habana	PROPN	21	nmod
25	,	PUNCT	13	punct
26	y	CCONJ	27	cc
27	apareció	VERB	3	conj
28	en	ADP	30	case
29	la	DET	30	det
30	playa	NOUN	27	obl
31	,	PUNCT	32	punct
32	vestido	ADJ	27	obj
33	con	ADP	36	case
34	su	DET	36	det
35	tradicional	ADJ	36	amod
36	uniforme	NOUN	32	obj
37	verde	ADJ	36	amod
38	olivo	NOUN	37	nmod
39	,	PUNCT	42	punct
40	ante	ADP	42	case
41	el	DET	42	det
42	asombro	NOUN	27	obl
43	de	ADP	45	case
44	los	DET	45	det
45	turistas	NOUN	42	nmod
46	que	PRON	48	nsubj
47	se	PRON	48	expl:pv
48	encontraban	VERB	45	acl
49	en	ADP	50	case
50	ella	PRON	48	obl
51	.	PUNCT	3	punct