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 cantautor Joan Manuel Serrat animó ayer, tras recibir un premio por su defensa constante de la naturaleza, a no someter el medio natural a los criterios económicos convencionales.
Postion	Tokenization
1	El
2	cantautor
3	Joan
4	Manuel
5	Serrat
6	animó
7	ayer
8	,
9	tras
10	recibir
11	un
12	premio
13	por
14	su
15	defensa
16	constante
17	de
18	la
19	naturaleza
20	,
21	a
22	no
23	someter
24	el
25	medio
26	natural
27	a
28	los
29	criterios
30	económicos
31	convencionales
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	cantautor	NOUN	6	nsubj
3	Joan	PROPN	2	appos
4	Manuel	PROPN	3	flat
5	Serrat	PROPN	3	flat
6	animó	VERB	0	root
7	ayer	ADV	6	advmod
8	,	PUNCT	10	punct
9	tras	ADP	10	mark
10	recibir	VERB	6	advcl
11	un	DET	12	det
12	premio	NOUN	10	obj
13	por	ADP	15	case
14	su	DET	15	det
15	defensa	NOUN	12	nmod
16	constante	ADJ	15	amod
17	de	ADP	19	case
18	la	DET	19	det
19	naturaleza	NOUN	15	nmod
20	,	PUNCT	10	punct
21	a	ADP	23	mark
22	no	ADV	23	advmod
23	someter	VERB	6	advcl
24	el	DET	25	det
25	medio	NOUN	23	obj
26	natural	ADJ	25	amod
27	a	ADP	29	case
28	los	DET	29	det
29	criterios	NOUN	23	obj
30	económicos	ADJ	29	amod
31	convencionales	ADJ	29	amod
32	.	PUNCT	6	punct