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:
Pero señalaron al mismo tiempo que Rusia "espera del Gobierno cubano que tome las medidas políticas pertinentes para resolver la actual situación", en la que la amortización de la deuda está estancada.
Postion	Tokenization
1	Pero
2	señalaron
3	al
4	mismo
5	tiempo
6	que
7	Rusia
8	"
9	espera
10	del
11	Gobierno
12	cubano
13	que
14	tome
15	las
16	medidas
17	políticas
18	pertinentes
19	para
20	resolver
21	la
22	actual
23	situación
24	"
25	,
26	en
27	la
28	que
29	la
30	amortización
31	de
32	la
33	deuda
34	está
35	estancada
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	2	advmod
2	señalaron	VERB	0	root
3	al	ADP	5	case
4	mismo	DET	5	det
5	tiempo	NOUN	2	obl
6	que	SCONJ	9	mark
7	Rusia	PROPN	9	nsubj
8	"	PUNCT	9	punct
9	espera	VERB	2	ccomp
10	del	ADP	11	case
11	Gobierno	PROPN	9	obl
12	cubano	ADJ	11	amod
13	que	SCONJ	14	mark
14	tome	VERB	9	ccomp
15	las	DET	16	det
16	medidas	NOUN	14	obj
17	políticas	ADJ	16	amod
18	pertinentes	ADJ	16	amod
19	para	ADP	20	mark
20	resolver	VERB	14	advcl
21	la	DET	23	det
22	actual	ADJ	23	amod
23	situación	NOUN	20	obj
24	"	PUNCT	35	punct
25	,	PUNCT	35	punct
26	en	ADP	28	case
27	la	DET	28	det
28	que	PRON	35	obl
29	la	DET	30	det
30	amortización	NOUN	35	nsubj
31	de	ADP	33	case
32	la	DET	33	det
33	deuda	NOUN	30	nmod
34	está	AUX	35	cop
35	estancada	ADJ	23	acl
36	.	PUNCT	2	punct