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:
Fidel Castro se acercó a la orilla del mar y conversó con numerosos turistas, procedentes de Canadá, Estados Unidos, Italia y España, según las imágenes mostradas esta noche por la televisión.
Postion	Tokenization
1	Fidel
2	Castro
3	se
4	acercó
5	a
6	la
7	orilla
8	del
9	mar
10	y
11	conversó
12	con
13	numerosos
14	turistas
15	,
16	procedentes
17	de
18	Canadá
19	,
20	Estados
21	Unidos
22	,
23	Italia
24	y
25	España
26	,
27	según
28	las
29	imágenes
30	mostradas
31	esta
32	noche
33	por
34	la
35	televisión
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Fidel	PROPN	4	nsubj
2	Castro	PROPN	1	flat
3	se	PRON	4	expl:pv
4	acercó	VERB	0	root
5	a	ADP	7	case
6	la	DET	7	det
7	orilla	NOUN	4	obl
8	del	ADP	9	case
9	mar	NOUN	7	nmod
10	y	CCONJ	11	cc
11	conversó	VERB	4	conj
12	con	ADP	14	case
13	numerosos	ADJ	14	amod
14	turistas	NOUN	11	obl
15	,	PUNCT	16	punct
16	procedentes	ADJ	14	amod
17	de	ADP	18	case
18	Canadá	PROPN	16	nmod
19	,	PUNCT	20	punct
20	Estados	PROPN	18	conj
21	Unidos	PROPN	20	flat
22	,	PUNCT	23	punct
23	Italia	PROPN	18	conj
24	y	CCONJ	25	cc
25	España	PROPN	18	conj
26	,	PUNCT	29	punct
27	según	ADP	29	case
28	las	DET	29	det
29	imágenes	NOUN	4	obl
30	mostradas	ADJ	29	amod
31	esta	DET	32	det
32	noche	NOUN	30	obl
33	por	ADP	35	case
34	la	DET	35	det
35	televisión	NOUN	30	obj
36	.	PUNCT	4	punct