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:
Casi 10 millones de dólares (1.400 millones de pesetas) le costó a la oposición republicana la batería de anuncios televisivos basados en el caso Lewinsky con que han barrido, en los últimos días de la presente campaña electoral, las 56 circunscripciones en que se elegirán a los candidatos al legislativo, Según reveló Todd Harris, portavoz del Comité Nacional Republicano para el Congreso.
Postion	Tokenization
1	Casi
2	10
3	millones
4	de
5	dólares
6	(
7	1.400
8	millones
9	de
10	pesetas
11	)
12	le
13	costó
14	a
15	la
16	oposición
17	republicana
18	la
19	batería
20	de
21	anuncios
22	televisivos
23	basados
24	en
25	el
26	caso
27	Lewinsky
28	con
29	que
30	han
31	barrido
32	,
33	en
34	los
35	últimos
36	días
37	de
38	la
39	presente
40	campaña
41	electoral
42	,
43	las
44	56
45	circunscripciones
46	en
47	que
48	se
49	elegirán
50	a
51	los
52	candidatos
53	al
54	legislativo
55	,
56	Según
57	reveló
58	Todd
59	Harris
60	,
61	portavoz
62	del
63	Comité
64	Nacional
65	Republicano
66	para
67	el
68	Congreso
69	.
Position	Tokenization	UPOS	Head	Deprel
1	Casi	ADV	3	advmod
2	10	NUM	1	nummod
3	millones	NOUN	13	obj
4	de	ADP	5	case
5	dólares	NOUN	3	nmod
6	(	PUNCT	8	punct
7	1.400	NUM	8	nummod
8	millones	NOUN	3	appos
9	de	ADP	10	case
10	pesetas	NOUN	8	nmod
11	)	PUNCT	8	punct
12	le	PRON	13	obj
13	costó	VERB	0	root
14	a	ADP	16	case
15	la	DET	16	det
16	oposición	NOUN	13	obj
17	republicana	ADJ	16	amod
18	la	DET	19	det
19	batería	NOUN	13	nsubj
20	de	ADP	21	case
21	anuncios	NOUN	19	nmod
22	televisivos	ADJ	21	amod
23	basados	ADJ	21	amod
24	en	ADP	26	case
25	el	DET	26	det
26	caso	NOUN	23	obj
27	Lewinsky	PROPN	26	appos
28	con	ADP	29	case
29	que	PRON	31	obl
30	han	AUX	31	aux
31	barrido	VERB	21	acl
32	,	PUNCT	36	punct
33	en	ADP	36	case
34	los	DET	36	det
35	últimos	ADJ	36	amod
36	días	NOUN	31	obl
37	de	ADP	40	case
38	la	DET	40	det
39	presente	ADJ	40	amod
40	campaña	NOUN	36	nmod
41	electoral	ADJ	40	amod
42	,	PUNCT	36	punct
43	las	DET	44	det
44	56	NUM	45	nummod
45	circunscripciones	NOUN	31	obj
46	en	ADP	47	case
47	que	PRON	49	obl
48	se	PRON	49	expl:impers
49	elegirán	VERB	45	acl
50	a	ADP	52	case
51	los	DET	52	det
52	candidatos	NOUN	49	obj
53	al	ADP	54	case
54	legislativo	ADJ	52	amod
55	,	PUNCT	57	punct
56	Según	SCONJ	57	mark
57	reveló	VERB	13	advcl
58	Todd	PROPN	57	nsubj
59	Harris	PROPN	58	flat
60	,	PUNCT	61	punct
61	portavoz	NOUN	58	appos
62	del	ADP	63	case
63	Comité	PROPN	61	nmod
64	Nacional	PROPN	63	flat
65	Republicano	PROPN	63	flat
66	para	ADP	68	case
67	el	DET	68	det
68	Congreso	PROPN	63	flat
69	.	PUNCT	13	punct