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:
Los dirigentes del PSOE y de IU en Madrid, Valencia, Castilla y León y Murcia se apresuraron ayer a convocar reuniones para pactar las candidaturas comunes al Senado.
Postion	Tokenization
1	Los
2	dirigentes
3	del
4	PSOE
5	y
6	de
7	IU
8	en
9	Madrid
10	,
11	Valencia
12	,
13	Castilla
14	y
15	León
16	y
17	Murcia
18	se
19	apresuraron
20	ayer
21	a
22	convocar
23	reuniones
24	para
25	pactar
26	las
27	candidaturas
28	comunes
29	al
30	Senado
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	dirigentes	NOUN	19	nsubj
3	del	ADP	4	case
4	PSOE	PROPN	2	nmod
5	y	CCONJ	7	cc
6	de	ADP	7	case
7	IU	PROPN	4	conj
8	en	ADP	9	case
9	Madrid	PROPN	2	nmod
10	,	PUNCT	11	punct
11	Valencia	PROPN	9	conj
12	,	PUNCT	13	punct
13	Castilla	PROPN	9	conj
14	y	CCONJ	15	cc
15	León	PROPN	13	conj
16	y	CCONJ	17	cc
17	Murcia	PROPN	9	conj
18	se	PRON	19	expl:pv
19	apresuraron	VERB	0	root
20	ayer	ADV	19	advmod
21	a	ADP	22	mark
22	convocar	VERB	19	xcomp
23	reuniones	NOUN	22	obj
24	para	ADP	25	mark
25	pactar	VERB	23	acl
26	las	DET	27	det
27	candidaturas	NOUN	25	obj
28	comunes	ADJ	27	amod
29	al	ADP	30	case
30	Senado	PROPN	27	nmod
31	.	PUNCT	19	punct