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:
A la una de la tarde, hacía calor en este pueblo de poco más de 2.000 habitantes, pueblo famoso, como aquel de Zalamea donde también hubo un alcalde.
Postion	Tokenization
1	A
2	la
3	una
4	de
5	la
6	tarde
7	,
8	hacía
9	calor
10	en
11	este
12	pueblo
13	de
14	poco
15	más
16	de
17	2.000
18	habitantes
19	,
20	pueblo
21	famoso
22	,
23	como
24	aquel
25	de
26	Zalamea
27	donde
28	también
29	hubo
30	un
31	alcalde
32	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	la	DET	3	det
3	una	NOUN	8	obl
4	de	ADP	6	case
5	la	DET	6	det
6	tarde	NOUN	3	nmod
7	,	PUNCT	3	punct
8	hacía	VERB	0	root
9	calor	NOUN	8	obj
10	en	ADP	12	case
11	este	DET	12	det
12	pueblo	NOUN	8	obl
13	de	ADP	18	case
14	poco	ADV	13	fixed
15	más	ADV	13	fixed
16	de	ADP	13	fixed
17	2.000	NUM	18	nummod
18	habitantes	NOUN	12	nmod
19	,	PUNCT	20	punct
20	pueblo	NOUN	12	appos
21	famoso	ADJ	20	amod
22	,	PUNCT	24	punct
23	como	ADP	24	case
24	aquel	DET	20	det
25	de	ADP	24	case
26	Zalamea	PROPN	24	nmod
27	donde	PRON	29	obl
28	también	ADV	29	advmod
29	hubo	AUX	26	acl
30	un	DET	31	det
31	alcalde	NOUN	29	obj
32	.	PUNCT	8	punct