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:
Al número 120, por lo tanto, le aguardan al menos varios meses en blanco, pero, en cualquier caso, se trata de un caramelo en pleno corazón de la ciudad que fuentes municipales sostienen que sería muy caro de comprar, aunque fuera con el esfuerzo conjunto de las dos administraciones.
Postion	Tokenization
1	Al
2	número
3	120
4	,
5	por
6	lo
7	tanto
8	,
9	le
10	aguardan
11	al
12	menos
13	varios
14	meses
15	en
16	blanco
17	,
18	pero
19	,
20	en
21	cualquier
22	caso
23	,
24	se
25	trata
26	de
27	un
28	caramelo
29	en
30	pleno
31	corazón
32	de
33	la
34	ciudad
35	que
36	fuentes
37	municipales
38	sostienen
39	que
40	sería
41	muy
42	caro
43	de
44	comprar
45	,
46	aunque
47	fuera
48	con
49	el
50	esfuerzo
51	conjunto
52	de
53	las
54	dos
55	administraciones
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	case
2	número	NOUN	10	obj
3	120	NUM	2	appos
4	,	PUNCT	5	punct
5	por	ADP	10	advmod
6	lo	PRON	5	fixed
7	tanto	NOUN	5	fixed
8	,	PUNCT	5	punct
9	le	PRON	10	obj
10	aguardan	VERB	0	root
11	al	ADP	14	advmod
12	menos	ADV	11	fixed
13	varios	DET	14	det
14	meses	NOUN	10	nsubj
15	en	ADP	16	case
16	blanco	ADJ	14	amod
17	,	PUNCT	25	punct
18	pero	CCONJ	25	cc
19	,	PUNCT	22	punct
20	en	ADP	22	case
21	cualquier	DET	22	det
22	caso	NOUN	25	obl
23	,	PUNCT	22	punct
24	se	PRON	25	expl:impers
25	trata	VERB	10	conj
26	de	ADP	28	case
27	un	DET	28	det
28	caramelo	NOUN	25	obj
29	en	ADP	31	case
30	pleno	ADJ	31	amod
31	corazón	NOUN	28	nmod
32	de	ADP	34	case
33	la	DET	34	det
34	ciudad	NOUN	31	nmod
35	que	PRON	38	nsubj
36	fuentes	NOUN	38	nsubj
37	municipales	ADJ	36	amod
38	sostienen	VERB	28	acl
39	que	SCONJ	42	mark
40	sería	AUX	42	cop
41	muy	ADV	42	advmod
42	caro	ADJ	38	ccomp
43	de	ADP	44	mark
44	comprar	VERB	42	acl
45	,	PUNCT	50	punct
46	aunque	SCONJ	50	mark
47	fuera	AUX	50	cop
48	con	ADP	50	case
49	el	DET	50	det
50	esfuerzo	NOUN	42	advcl
51	conjunto	ADJ	50	amod
52	de	ADP	55	case
53	las	DET	55	det
54	dos	NUM	53	nummod
55	administraciones	NOUN	50	nmod
56	.	PUNCT	10	punct