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:
"Iremos a Madrid a trabajar, defenderemos con fuerza nuestras propuestas, pero está claro que no tendremos las condiciones óptimas frente a la mayoría del PP", ha concluido López de Lerma.
Postion	Tokenization
1	"
2	Iremos
3	a
4	Madrid
5	a
6	trabajar
7	,
8	defenderemos
9	con
10	fuerza
11	nuestras
12	propuestas
13	,
14	pero
15	está
16	claro
17	que
18	no
19	tendremos
20	las
21	condiciones
22	óptimas
23	frente
24	a
25	la
26	mayoría
27	del
28	PP
29	"
30	,
31	ha
32	concluido
33	López
34	de
35	Lerma
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Iremos	VERB	32	ccomp
3	a	ADP	4	case
4	Madrid	PROPN	2	obl
5	a	ADP	6	mark
6	trabajar	VERB	2	advcl
7	,	PUNCT	8	punct
8	defenderemos	VERB	2	advcl
9	con	ADP	10	case
10	fuerza	NOUN	8	obl
11	nuestras	DET	12	det
12	propuestas	NOUN	8	obj
13	,	PUNCT	16	punct
14	pero	CCONJ	16	cc
15	está	AUX	16	cop
16	claro	ADV	2	conj
17	que	SCONJ	19	mark
18	no	ADV	19	advmod
19	tendremos	VERB	16	csubj
20	las	DET	21	det
21	condiciones	NOUN	19	obj
22	óptimas	ADJ	21	amod
23	frente	NOUN	26	case
24	a	ADP	23	fixed
25	la	DET	26	det
26	mayoría	NOUN	19	obl
27	del	ADP	28	case
28	PP	PROPN	26	nmod
29	"	PUNCT	2	punct
30	,	PUNCT	2	punct
31	ha	AUX	32	aux
32	concluido	VERB	0	root
33	López	PROPN	32	nsubj
34	de	ADP	35	case
35	Lerma	PROPN	33	flat
36	.	PUNCT	32	punct