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:
Tan solo los operadores portuarios y las compañías navales de Rumanía, - que cuentan con la más importante flota fluvial del Danubio -, perdieron durante el embargo total contra Yugoslavia más de 250 millones de dólares, al tiempo que el 80 por ciento de los trabajadores de este sector estuvieron en paro técnico.
Postion	Tokenization
1	Tan
2	solo
3	los
4	operadores
5	portuarios
6	y
7	las
8	compañías
9	navales
10	de
11	Rumanía
12	,
13	-
14	que
15	cuentan
16	con
17	la
18	más
19	importante
20	flota
21	fluvial
22	del
23	Danubio
24	-
25	,
26	perdieron
27	durante
28	el
29	embargo
30	total
31	contra
32	Yugoslavia
33	más
34	de
35	250
36	millones
37	de
38	dólares
39	,
40	al
41	tiempo
42	que
43	el
44	80
45	por
46	ciento
47	de
48	los
49	trabajadores
50	de
51	este
52	sector
53	estuvieron
54	en
55	paro
56	técnico
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Tan	NOUN	4	advmod
2	solo	NOUN	1	fixed
3	los	DET	4	det
4	operadores	NOUN	26	nsubj
5	portuarios	ADJ	4	amod
6	y	CCONJ	8	cc
7	las	DET	8	det
8	compañías	NOUN	4	conj
9	navales	ADJ	8	amod
10	de	ADP	11	case
11	Rumanía	PROPN	8	nmod
12	,	PUNCT	15	punct
13	-	PUNCT	15	punct
14	que	PRON	15	nsubj
15	cuentan	VERB	8	acl
16	con	ADP	20	case
17	la	DET	20	det
18	más	ADV	19	advmod
19	importante	ADJ	20	amod
20	flota	NOUN	15	obj
21	fluvial	ADJ	20	amod
22	del	ADP	23	case
23	Danubio	PROPN	20	nmod
24	-	PUNCT	15	punct
25	,	PUNCT	15	punct
26	perdieron	VERB	0	root
27	durante	ADP	29	case
28	el	DET	29	det
29	embargo	NOUN	26	obl
30	total	ADJ	29	amod
31	contra	ADP	32	case
32	Yugoslavia	PROPN	29	nmod
33	más	ADV	36	advmod
34	de	ADP	33	case
35	250	NUM	33	nummod
36	millones	NOUN	26	obj
37	de	ADP	38	case
38	dólares	NOUN	36	nmod
39	,	PUNCT	55	punct
40	al	ADP	55	mark
41	tiempo	NOUN	40	fixed
42	que	SCONJ	40	fixed
43	el	DET	44	det
44	80	NUM	55	nsubj
45	por	ADP	46	case
46	ciento	NUM	44	compound
47	de	ADP	49	case
48	los	DET	49	det
49	trabajadores	NOUN	44	nmod
50	de	ADP	52	case
51	este	DET	52	det
52	sector	NOUN	49	nmod
53	estuvieron	AUX	55	cop
54	en	ADP	55	case
55	paro	NOUN	26	advcl
56	técnico	ADJ	55	amod
57	.	PUNCT	26	punct