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:
"Cuando Castro muera, será el principio del fin del embargo", sostiene Carmelo Mesa-Lago especialista en economía caribeña de la Universidad de Pittsburgh.
Postion	Tokenization
1	"
2	Cuando
3	Castro
4	muera
5	,
6	será
7	el
8	principio
9	del
10	fin
11	del
12	embargo
13	"
14	,
15	sostiene
16	Carmelo
17	Mesa-Lago
18	especialista
19	en
20	economía
21	caribeña
22	de
23	la
24	Universidad
25	de
26	Pittsburgh
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Cuando	SCONJ	4	mark
3	Castro	PROPN	4	nsubj
4	muera	VERB	8	advcl
5	,	PUNCT	4	punct
6	será	AUX	8	cop
7	el	DET	8	det
8	principio	NOUN	15	ccomp
9	del	ADP	10	case
10	fin	NOUN	8	nmod
11	del	ADP	12	case
12	embargo	NOUN	10	nmod
13	"	PUNCT	8	punct
14	,	PUNCT	8	punct
15	sostiene	VERB	0	root
16	Carmelo	PROPN	15	nsubj
17	Mesa-Lago	PROPN	16	flat
18	especialista	NOUN	16	appos
19	en	ADP	20	case
20	economía	NOUN	18	nmod
21	caribeña	ADJ	20	amod
22	de	ADP	24	case
23	la	DET	24	det
24	Universidad	PROPN	18	nmod
25	de	ADP	26	case
26	Pittsburgh	PROPN	24	flat
27	.	PUNCT	15	punct