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 PSOE reclama al Gobierno que envíe información cada tres meses sobre el estado de las obras desarrolladas por estas entidades.
Postion	Tokenization
1	El
2	PSOE
3	reclama
4	al
5	Gobierno
6	que
7	envíe
8	información
9	cada
10	tres
11	meses
12	sobre
13	el
14	estado
15	de
16	las
17	obras
18	desarrolladas
19	por
20	estas
21	entidades
22	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	PSOE	PROPN	3	nsubj
3	reclama	VERB	0	root
4	al	ADP	5	case
5	Gobierno	PROPN	3	iobj
6	que	SCONJ	7	mark
7	envíe	VERB	3	ccomp
8	información	NOUN	7	obj
9	cada	DET	11	det
10	tres	NUM	9	nummod
11	meses	NOUN	7	obl
12	sobre	ADP	14	case
13	el	DET	14	det
14	estado	NOUN	7	obl
15	de	ADP	17	case
16	las	DET	17	det
17	obras	NOUN	14	nmod
18	desarrolladas	ADJ	17	amod
19	por	ADP	21	case
20	estas	DET	21	det
21	entidades	NOUN	18	obj
22	.	PUNCT	3	punct