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:
"El embargo, que hemos tardado en levantar un año después del fin de la guerra en Yugoslavia, nos produjo pérdidas de aproximadamente mil millones de lei", precisó Ionescu, quien mencionó que a causa de las sanciones impuestas a Yugoslavia, Rumanía no pudo procesar 3,5 millones de toneladas de crudo de Serbia.
Postion	Tokenization
1	"
2	El
3	embargo
4	,
5	que
6	hemos
7	tardado
8	en
9	levantar
10	un
11	año
12	después
13	del
14	fin
15	de
16	la
17	guerra
18	en
19	Yugoslavia
20	,
21	nos
22	produjo
23	pérdidas
24	de
25	aproximadamente
26	mil
27	millones
28	de
29	lei
30	"
31	,
32	precisó
33	Ionescu
34	,
35	quien
36	mencionó
37	que
38	a
39	causa
40	de
41	las
42	sanciones
43	impuestas
44	a
45	Yugoslavia
46	,
47	Rumanía
48	no
49	pudo
50	procesar
51	3,5
52	millones
53	de
54	toneladas
55	de
56	crudo
57	de
58	Serbia
59	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	22	punct
2	El	DET	3	det
3	embargo	NOUN	22	nsubj
4	,	PUNCT	7	punct
5	que	PRON	7	iobj
6	hemos	AUX	7	aux
7	tardado	VERB	3	acl
8	en	ADP	9	mark
9	levantar	VERB	7	xcomp
10	un	DET	11	det
11	año	NOUN	12	obl
12	después	ADV	7	advmod
13	del	ADP	14	case
14	fin	NOUN	12	obl
15	de	ADP	17	case
16	la	DET	17	det
17	guerra	NOUN	14	nmod
18	en	ADP	19	case
19	Yugoslavia	PROPN	17	nmod
20	,	PUNCT	7	punct
21	nos	PRON	22	iobj
22	produjo	VERB	32	ccomp
23	pérdidas	NOUN	22	obj
24	de	ADP	27	case
25	aproximadamente	ADV	27	advmod
26	mil	NUM	27	nummod
27	millones	NOUN	23	nmod
28	de	ADP	29	case
29	lei	NOUN	27	nmod
30	"	PUNCT	22	punct
31	,	PUNCT	22	punct
32	precisó	VERB	0	root
33	Ionescu	PROPN	32	nsubj
34	,	PUNCT	36	punct
35	quien	PRON	36	nsubj
36	mencionó	VERB	33	acl
37	que	SCONJ	50	mark
38	a	ADP	42	case
39	causa	NOUN	38	fixed
40	de	ADP	38	fixed
41	las	DET	42	det
42	sanciones	NOUN	50	obl
43	impuestas	ADJ	42	amod
44	a	ADP	45	case
45	Yugoslavia	PROPN	43	obj
46	,	PUNCT	42	punct
47	Rumanía	PROPN	50	nsubj
48	no	ADV	50	advmod
49	pudo	AUX	50	aux
50	procesar	VERB	36	xcomp
51	3,5	NUM	52	nummod
52	millones	NOUN	50	obj
53	de	ADP	54	case
54	toneladas	NOUN	52	nmod
55	de	ADP	56	case
56	crudo	NOUN	54	nmod
57	de	ADP	58	case
58	Serbia	PROPN	54	nmod
59	.	PUNCT	32	punct