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:
Cuando asesoré en las primarias del PSOE a Josep Borrell, esta fuerza política aceptó la propuesta de establecer tal derecho de ciudadanía (que debiera realizarse en dos legislaturas) y más tarde el candidato Joaquín Almunia la incorporó como suyas.
Postion	Tokenization
1	Cuando
2	asesoré
3	en
4	las
5	primarias
6	del
7	PSOE
8	a
9	Josep
10	Borrell
11	,
12	esta
13	fuerza
14	política
15	aceptó
16	la
17	propuesta
18	de
19	establecer
20	tal
21	derecho
22	de
23	ciudadanía
24	(
25	que
26	debiera
27	realizarse
28	realizar
29	se
30	en
31	dos
32	legislaturas
33	)
34	y
35	más
36	tarde
37	el
38	candidato
39	Joaquín
40	Almunia
41	la
42	incorporó
43	como
44	suyas
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuando	SCONJ	2	mark
2	asesoré	VERB	15	advcl
3	en	ADP	5	case
4	las	DET	5	det
5	primarias	NOUN	2	obl
6	del	ADP	7	case
7	PSOE	PROPN	5	nmod
8	a	ADP	9	case
9	Josep	PROPN	2	obj
10	Borrell	PROPN	9	flat
11	,	PUNCT	2	punct
12	esta	DET	13	det
13	fuerza	NOUN	15	nsubj
14	política	ADJ	13	amod
15	aceptó	VERB	0	root
16	la	DET	17	det
17	propuesta	NOUN	15	obj
18	de	ADP	19	mark
19	establecer	VERB	17	acl
20	tal	DET	21	det
21	derecho	NOUN	19	obj
22	de	ADP	23	case
23	ciudadanía	NOUN	21	nmod
24	(	PUNCT	27	punct
25	que	PRON	27	nsubj
26	debiera	AUX	27	aux
27	realizarse	_	None	_
28	realizar	VERB	21	acl
29	se	PRON	27	expl:pass
30	en	ADP	31	case
31	dos	NUM	31	nummod
32	legislaturas	NOUN	27	obl
33	)	PUNCT	27	punct
34	y	CCONJ	41	cc
35	más	ADV	35	advmod
36	tarde	ADV	41	advmod
37	el	DET	37	det
38	candidato	NOUN	41	nsubj
39	Joaquín	PROPN	37	appos
40	Almunia	PROPN	38	flat
41	la	PRON	41	obj
42	incorporó	VERB	15	conj
43	como	SCONJ	43	mark
44	suyas	PRON	41	obl
45	.	PUNCT	15	punct