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:
Paralelamente, el Ministerio de Exteriores ruso entregó ayer a la embajada de EEUU una nota de protesta tras la detención de la diplomática norteamericana Cheri Leberknight bajo acusación de espionaje.
Postion	Tokenization
1	Paralelamente
2	,
3	el
4	Ministerio
5	de
6	Exteriores
7	ruso
8	entregó
9	ayer
10	a
11	la
12	embajada
13	de
14	EEUU
15	una
16	nota
17	de
18	protesta
19	tras
20	la
21	detención
22	de
23	la
24	diplomática
25	norteamericana
26	Cheri
27	Leberknight
28	bajo
29	acusación
30	de
31	espionaje
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Paralelamente	ADV	8	advmod
2	,	PUNCT	1	punct
3	el	DET	4	det
4	Ministerio	PROPN	8	nsubj
5	de	ADP	6	case
6	Exteriores	PROPN	4	flat
7	ruso	ADJ	4	amod
8	entregó	VERB	0	root
9	ayer	ADV	8	advmod
10	a	ADP	12	case
11	la	DET	12	det
12	embajada	NOUN	8	obj
13	de	ADP	14	case
14	EEUU	PROPN	12	nmod
15	una	DET	16	det
16	nota	NOUN	8	obj
17	de	ADP	18	case
18	protesta	NOUN	16	nmod
19	tras	ADP	21	case
20	la	DET	21	det
21	detención	NOUN	8	obl
22	de	ADP	24	case
23	la	DET	24	det
24	diplomática	NOUN	21	nmod
25	norteamericana	ADJ	24	amod
26	Cheri	PROPN	24	appos
27	Leberknight	PROPN	26	flat
28	bajo	ADP	29	case
29	acusación	NOUN	21	nmod
30	de	ADP	31	case
31	espionaje	NOUN	29	nmod
32	.	PUNCT	8	punct