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 la misma comunidad autónoma, en las inmediaciones de la localidad de Manzanal de los Infantes (Zamora), unas 436 hectáreas también resultaron carbonizadas.
Postion	Tokenization
1	En
2	la
3	misma
4	comunidad
5	autónoma
6	,
7	en
8	las
9	inmediaciones
10	de
11	la
12	localidad
13	de
14	Manzanal
15	de
16	los
17	Infantes
18	(
19	Zamora
20	)
21	,
22	unas
23	436
24	hectáreas
25	también
26	resultaron
27	carbonizadas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	la	DET	4	det
3	misma	DET	2	det
4	comunidad	NOUN	26	obl
5	autónoma	ADJ	4	amod
6	,	PUNCT	9	punct
7	en	ADP	9	case
8	las	DET	9	det
9	inmediaciones	NOUN	4	nmod
10	de	ADP	12	case
11	la	DET	12	det
12	localidad	NOUN	9	nmod
13	de	ADP	14	case
14	Manzanal	PROPN	12	nmod
15	de	ADP	17	case
16	los	DET	17	det
17	Infantes	PROPN	14	flat
18	(	PUNCT	19	punct
19	Zamora	PROPN	14	flat
20	)	PUNCT	19	punct
21	,	PUNCT	9	punct
22	unas	PRON	23	nmod
23	436	NUM	24	nummod
24	hectáreas	NOUN	26	nsubj
25	también	ADV	26	advmod
26	resultaron	VERB	0	root
27	carbonizadas	ADJ	26	obj
28	.	PUNCT	26	punct