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:
Con respecto a los árboles que cita de la calle de Almeria, se trata de los Tipuana, una especie que vive muy bien en las calles de Barcelona.
Postion	Tokenization
1	Con
2	respecto
3	a
4	los
5	árboles
6	que
7	cita
8	de
9	la
10	calle
11	de
12	Almeria
13	,
14	se
15	trata
16	de
17	los
18	Tipuana
19	,
20	una
21	especie
22	que
23	vive
24	muy
25	bien
26	en
27	las
28	calles
29	de
30	Barcelona
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	5	case
2	respecto	NOUN	1	fixed
3	a	ADP	1	fixed
4	los	DET	5	det
5	árboles	NOUN	15	obl
6	que	PRON	7	obj
7	cita	VERB	5	acl
8	de	ADP	10	case
9	la	DET	10	det
10	calle	NOUN	5	nmod
11	de	ADP	12	case
12	Almeria	PROPN	10	nmod
13	,	PUNCT	5	punct
14	se	PRON	15	expl:impers
15	trata	VERB	0	root
16	de	ADP	18	case
17	los	DET	18	det
18	Tipuana	PROPN	15	obj
19	,	PUNCT	21	punct
20	una	DET	21	det
21	especie	NOUN	18	appos
22	que	PRON	23	nsubj
23	vive	VERB	21	acl
24	muy	ADV	25	advmod
25	bien	ADV	23	advmod
26	en	ADP	28	case
27	las	DET	28	det
28	calles	NOUN	23	obl
29	de	ADP	30	case
30	Barcelona	PROPN	28	nmod
31	.	PUNCT	15	punct