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:
Ramón Calderón, uno de los líderes de la oposición a Lorenzo Sanz, ha recibido varias amenazas telefónicas, entre ellas la de romperle las piernas si mantiene su actitud de acoso a la directiva madridista.
Postion	Tokenization
1	Ramón
2	Calderón
3	,
4	uno
5	de
6	los
7	líderes
8	de
9	la
10	oposición
11	a
12	Lorenzo
13	Sanz
14	,
15	ha
16	recibido
17	varias
18	amenazas
19	telefónicas
20	,
21	entre
22	ellas
23	la
24	de
25	romperle
26	romper
27	le
28	las
29	piernas
30	si
31	mantiene
32	su
33	actitud
34	de
35	acoso
36	a
37	la
38	directiva
39	madridista
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Ramón	PROPN	16	nsubj
2	Calderón	PROPN	1	flat
3	,	PUNCT	4	punct
4	uno	PRON	1	appos
5	de	ADP	7	case
6	los	DET	7	det
7	líderes	NOUN	4	nmod
8	de	ADP	10	case
9	la	DET	10	det
10	oposición	NOUN	7	nmod
11	a	ADP	12	case
12	Lorenzo	PROPN	10	nmod
13	Sanz	PROPN	12	flat
14	,	PUNCT	4	punct
15	ha	AUX	16	aux
16	recibido	VERB	0	root
17	varias	DET	18	det
18	amenazas	NOUN	16	obj
19	telefónicas	ADJ	18	amod
20	,	PUNCT	23	punct
21	entre	ADP	22	case
22	ellas	PRON	23	nmod
23	la	DET	18	appos
24	de	ADP	25	mark
25	romperle	_	None	_
26	romper	VERB	23	acl
27	le	PRON	25	obj
28	las	DET	28	det
29	piernas	NOUN	25	obj
30	si	SCONJ	30	mark
31	mantiene	VERB	25	advcl
32	su	DET	32	det
33	actitud	NOUN	30	obj
34	de	ADP	34	case
35	acoso	NOUN	32	nmod
36	a	ADP	37	case
37	la	DET	37	det
38	directiva	NOUN	34	nmod
39	madridista	ADJ	37	amod
40	.	PUNCT	16	punct