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:
Este es el monumento al futuro del sexto ganador del Tour: dejarnos un país tan limpio en su gobierno como el cielo claro después de las tormentas mediterráneas, que inundan nuestras obras públicas sin encontrar nunca ni un solo responsable político de tanta mala gestión, ya sea la plaza de Cerdà socialista o los incendios forestales de la Generalitat.
Postion	Tokenization
1	Este
2	es
3	el
4	monumento
5	al
6	futuro
7	del
8	sexto
9	ganador
10	del
11	Tour
12	:
13	dejarnos
14	dejar
15	nos
16	un
17	país
18	tan
19	limpio
20	en
21	su
22	gobierno
23	como
24	el
25	cielo
26	claro
27	después
28	de
29	las
30	tormentas
31	mediterráneas
32	,
33	que
34	inundan
35	nuestras
36	obras
37	públicas
38	sin
39	encontrar
40	nunca
41	ni
42	un
43	solo
44	responsable
45	político
46	de
47	tanta
48	mala
49	gestión
50	,
51	ya
52	sea
53	la
54	plaza
55	de
56	Cerdà
57	socialista
58	o
59	los
60	incendios
61	forestales
62	de
63	la
64	Generalitat
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	PRON	4	nsubj
2	es	AUX	4	cop
3	el	DET	4	det
4	monumento	NOUN	0	root
5	al	ADP	6	case
6	futuro	NOUN	4	nmod
7	del	ADP	9	case
8	sexto	ADJ	9	amod
9	ganador	NOUN	6	nmod
10	del	ADP	11	case
11	Tour	PROPN	9	nmod
12	:	PUNCT	13	punct
13	dejarnos	_	None	_
14	dejar	VERB	4	acl
15	nos	PRON	13	iobj
16	un	DET	16	det
17	país	NOUN	13	obj
18	tan	ADV	18	advmod
19	limpio	ADJ	16	amod
20	en	ADP	21	case
21	su	DET	21	det
22	gobierno	NOUN	18	nmod
23	como	SCONJ	24	mark
24	el	DET	24	det
25	cielo	NOUN	18	obl
26	claro	ADJ	24	amod
27	después	ADV	24	advmod
28	de	ADP	29	case
29	las	DET	29	det
30	tormentas	NOUN	26	obl
31	mediterráneas	ADJ	29	amod
32	,	PUNCT	33	punct
33	que	PRON	33	nsubj
34	inundan	VERB	29	acl
35	nuestras	DET	35	det
36	obras	NOUN	33	obj
37	públicas	ADJ	35	amod
38	sin	ADP	38	mark
39	encontrar	VERB	33	advcl
40	nunca	ADV	38	advmod
41	ni	ADV	43	advmod
42	un	DET	43	det
43	solo	ADJ	43	amod
44	responsable	NOUN	38	obj
45	político	ADJ	43	amod
46	de	ADP	48	case
47	tanta	DET	48	det
48	mala	ADJ	48	amod
49	gestión	NOUN	43	nmod
50	,	PUNCT	53	punct
51	ya	ADV	53	advmod
52	sea	AUX	53	cop
53	la	DET	53	det
54	plaza	NOUN	48	parataxis
55	de	ADP	55	case
56	Cerdà	PROPN	53	nmod
57	socialista	ADJ	53	amod
58	o	CCONJ	59	cc
59	los	DET	59	det
60	incendios	NOUN	53	conj
61	forestales	ADJ	59	amod
62	de	ADP	63	case
63	la	DET	63	det
64	Generalitat	PROPN	59	nmod
65	.	PUNCT	4	punct