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:
O sea, que en este campo del intercambio de relaciones las chicas de entonces apenas si teníamos oportunidades, y si las teníamos era porque las otras les habían dado calabazas.
Postion	Tokenization
1	O
2	sea
3	,
4	que
5	en
6	este
7	campo
8	del
9	intercambio
10	de
11	relaciones
12	las
13	chicas
14	de
15	entonces
16	apenas
17	si
18	teníamos
19	oportunidades
20	,
21	y
22	si
23	las
24	teníamos
25	era
26	porque
27	las
28	otras
29	les
30	habían
31	dado
32	calabazas
33	.
Position	Tokenization	UPOS	Head	Deprel
1	O	CCONJ	18	advmod
2	sea	NOUN	1	fixed
3	,	PUNCT	1	punct
4	que	SCONJ	18	mark
5	en	ADP	7	case
6	este	DET	7	det
7	campo	NOUN	18	obl
8	del	ADP	9	case
9	intercambio	NOUN	7	nmod
10	de	ADP	11	case
11	relaciones	NOUN	9	nmod
12	las	DET	13	det
13	chicas	NOUN	18	nsubj
14	de	ADP	15	case
15	entonces	ADV	13	advmod
16	apenas	NOUN	18	advmod
17	si	SCONJ	16	fixed
18	teníamos	VERB	0	root
19	oportunidades	NOUN	18	obj
20	,	PUNCT	31	punct
21	y	CCONJ	31	cc
22	si	SCONJ	24	mark
23	las	PRON	24	obj
24	teníamos	VERB	31	advcl
25	era	AUX	31	cop
26	porque	SCONJ	31	mark
27	las	DET	28	det
28	otras	PRON	31	nsubj
29	les	PRON	31	obj
30	habían	AUX	31	aux
31	dado	VERB	18	conj
32	calabazas	NOUN	31	obj
33	.	PUNCT	18	punct