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:
En Baleares, Aznar recurre a una cita del Conde de Romanones - "joder, qué tropa" - para criticar la variedad de proyectos del PSOE.
Postion	Tokenization
1	En
2	Baleares
3	,
4	Aznar
5	recurre
6	a
7	una
8	cita
9	del
10	Conde
11	de
12	Romanones
13	-
14	"
15	joder
16	,
17	qué
18	tropa
19	"
20	-
21	para
22	criticar
23	la
24	variedad
25	de
26	proyectos
27	del
28	PSOE
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Baleares	PROPN	5	obl
3	,	PUNCT	2	punct
4	Aznar	PROPN	5	nsubj
5	recurre	VERB	0	root
6	a	ADP	8	case
7	una	DET	8	det
8	cita	NOUN	5	obj
9	del	ADP	10	case
10	Conde	PROPN	8	nmod
11	de	ADP	12	case
12	Romanones	PROPN	10	flat
13	-	PUNCT	15	punct
14	"	PUNCT	15	punct
15	joder	PROPN	8	appos
16	,	PUNCT	15	punct
17	qué	PROPN	15	flat
18	tropa	PROPN	17	flat
19	"	PUNCT	15	punct
20	-	PUNCT	15	punct
21	para	ADP	22	mark
22	criticar	VERB	5	advcl
23	la	DET	24	det
24	variedad	NOUN	22	obj
25	de	ADP	26	case
26	proyectos	NOUN	24	nmod
27	del	ADP	28	case
28	PSOE	PROPN	24	nmod
29	.	PUNCT	5	punct