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:
Era media mañana y había bastante gente en las calles, esto es, en las veredas sin urbanizar que habían quedado abiertas entre las chozas.
Postion	Tokenization
1	Era
2	media
3	mañana
4	y
5	había
6	bastante
7	gente
8	en
9	las
10	calles
11	,
12	esto
13	es
14	,
15	en
16	las
17	veredas
18	sin
19	urbanizar
20	que
21	habían
22	quedado
23	abiertas
24	entre
25	las
26	chozas
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Era	AUX	3	cop
2	media	NUM	3	nummod
3	mañana	NOUN	0	root
4	y	CCONJ	5	cc
5	había	AUX	3	conj
6	bastante	DET	7	det
7	gente	NOUN	5	obj
8	en	ADP	10	case
9	las	DET	10	det
10	calles	NOUN	5	obl
11	,	PUNCT	17	punct
12	esto	NOUN	17	cc
13	es	NOUN	12	fixed
14	,	PUNCT	17	punct
15	en	ADP	17	case
16	las	DET	17	det
17	veredas	NOUN	10	conj
18	sin	ADP	19	mark
19	urbanizar	VERB	17	acl
20	que	PRON	22	nsubj
21	habían	AUX	22	aux
22	quedado	VERB	17	acl
23	abiertas	ADJ	22	obj
24	entre	ADP	26	case
25	las	DET	26	det
26	chozas	NOUN	22	obl
27	.	PUNCT	3	punct