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:
El PSC sigue apostando por un federalismo que no convence a nadie, mientras Aznar, Rajoy y Mayor Oreja se lo pasan la mar de bien viendo el espectáculo.
Postion	Tokenization
1	El
2	PSC
3	sigue
4	apostando
5	por
6	un
7	federalismo
8	que
9	no
10	convence
11	a
12	nadie
13	,
14	mientras
15	Aznar
16	,
17	Rajoy
18	y
19	Mayor
20	Oreja
21	se
22	lo
23	pasan
24	la
25	mar
26	de
27	bien
28	viendo
29	el
30	espectáculo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	PSC	PROPN	3	nsubj
3	sigue	VERB	0	root
4	apostando	VERB	3	xcomp
5	por	ADP	7	case
6	un	DET	7	det
7	federalismo	NOUN	4	obj
8	que	PRON	10	nsubj
9	no	ADV	10	advmod
10	convence	VERB	7	acl
11	a	ADP	12	case
12	nadie	PRON	10	obj
13	,	PUNCT	23	punct
14	mientras	CCONJ	23	cc
15	Aznar	PROPN	23	nsubj
16	,	PUNCT	17	punct
17	Rajoy	PROPN	15	conj
18	y	CCONJ	19	cc
19	Mayor	PROPN	15	conj
20	Oreja	PROPN	19	flat
21	se	PRON	23	iobj
22	lo	PRON	23	obj
23	pasan	VERB	4	conj
24	la	DET	27	advmod
25	mar	NOUN	24	fixed
26	de	ADP	24	fixed
27	bien	ADV	23	advmod
28	viendo	VERB	23	advcl
29	el	DET	30	det
30	espectáculo	NOUN	28	obj
31	.	PUNCT	3	punct