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:
La mayor expectativa de crecimiento está en los votantes del PSC, que han visto de lo que es capaz el PP en el Gobierno.
Postion	Tokenization
1	La
2	mayor
3	expectativa
4	de
5	crecimiento
6	está
7	en
8	los
9	votantes
10	del
11	PSC
12	,
13	que
14	han
15	visto
16	de
17	lo
18	que
19	es
20	capaz
21	el
22	PP
23	en
24	el
25	Gobierno
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	mayor	ADJ	3	amod
3	expectativa	NOUN	6	nsubj
4	de	ADP	5	case
5	crecimiento	NOUN	3	nmod
6	está	VERB	0	root
7	en	ADP	9	case
8	los	DET	9	det
9	votantes	NOUN	6	obl
10	del	ADP	11	case
11	PSC	PROPN	9	nmod
12	,	PUNCT	15	punct
13	que	PRON	15	nsubj
14	han	AUX	15	aux
15	visto	VERB	9	acl
16	de	ADP	18	case
17	lo	PRON	18	det
18	que	PRON	20	obj
19	es	AUX	20	cop
20	capaz	ADJ	15	ccomp
21	el	DET	22	det
22	PP	PROPN	20	nsubj
23	en	ADP	25	case
24	el	DET	25	det
25	Gobierno	PROPN	20	obl
26	.	PUNCT	6	punct