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 turista gallega, en traje de baño y con el agua sobre las rodillas, dijo al líder cubano: "mi mamá siempre decía que era prima de Fidel", luego, junto a sus compañeras, posó al lado del presidente Castro para hacerse una foto.
Postion	Tokenization
1	La
2	turista
3	gallega
4	,
5	en
6	traje
7	de
8	baño
9	y
10	con
11	el
12	agua
13	sobre
14	las
15	rodillas
16	,
17	dijo
18	al
19	líder
20	cubano
21	:
22	"
23	mi
24	mamá
25	siempre
26	decía
27	que
28	era
29	prima
30	de
31	Fidel
32	"
33	,
34	luego
35	,
36	junto
37	a
38	sus
39	compañeras
40	,
41	posó
42	al
43	lado
44	del
45	presidente
46	Castro
47	para
48	hacerse
49	hacer
50	se
51	una
52	foto
53	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	turista	NOUN	17	nsubj
3	gallega	ADJ	2	amod
4	,	PUNCT	6	punct
5	en	ADP	6	case
6	traje	NOUN	2	nmod
7	de	ADP	8	case
8	baño	NOUN	6	nmod
9	y	CCONJ	12	cc
10	con	ADP	12	case
11	el	DET	12	det
12	agua	NOUN	6	conj
13	sobre	ADP	15	case
14	las	DET	15	det
15	rodillas	NOUN	12	nmod
16	,	PUNCT	6	punct
17	dijo	VERB	0	root
18	al	ADP	19	case
19	líder	NOUN	17	iobj
20	cubano	ADJ	19	amod
21	:	PUNCT	26	punct
22	"	PUNCT	26	punct
23	mi	DET	24	det
24	mamá	NOUN	26	nsubj
25	siempre	ADV	26	advmod
26	decía	VERB	17	ccomp
27	que	SCONJ	29	mark
28	era	AUX	29	cop
29	prima	NOUN	26	ccomp
30	de	ADP	31	case
31	Fidel	PROPN	29	nmod
32	"	PUNCT	26	punct
33	,	PUNCT	17	punct
34	luego	ADV	41	advmod
35	,	PUNCT	39	punct
36	junto	ADJ	39	case
37	a	ADP	36	fixed
38	sus	DET	39	det
39	compañeras	NOUN	41	obl
40	,	PUNCT	39	punct
41	posó	VERB	17	advcl
42	al	ADP	45	case
43	lado	NOUN	42	fixed
44	del	ADP	42	fixed
45	presidente	NOUN	41	obl
46	Castro	PROPN	45	appos
47	para	ADP	48	mark
48	hacerse	_	None	_
49	hacer	VERB	41	advcl
50	se	PRON	48	expl:pass
51	una	DET	51	det
52	foto	NOUN	48	obj
53	.	PUNCT	17	punct