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:
- - No, por nada, disculpe usted, pero es que se preocupa tanto cuando llueve y cuando no llueve, que me creí que sería cosa de la siembra, ya me entiende.
Postion	Tokenization
1	-
2	-
3	No
4	,
5	por
6	nada
7	,
8	disculpe
9	usted
10	,
11	pero
12	es
13	que
14	se
15	preocupa
16	tanto
17	cuando
18	llueve
19	y
20	cuando
21	no
22	llueve
23	,
24	que
25	me
26	creí
27	que
28	sería
29	cosa
30	de
31	la
32	siembra
33	,
34	ya
35	me
36	entiende
37	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	8	punct
2	-	PUNCT	8	punct
3	No	ADV	8	advmod
4	,	PUNCT	3	punct
5	por	ADP	6	case
6	nada	PRON	8	obl
7	,	PUNCT	6	punct
8	disculpe	VERB	0	root
9	usted	PRON	8	nsubj
10	,	PUNCT	12	punct
11	pero	CCONJ	12	cc
12	es	AUX	8	conj
13	que	SCONJ	15	mark
14	se	PRON	15	expl:pv
15	preocupa	VERB	12	ccomp
16	tanto	ADV	15	advmod
17	cuando	SCONJ	18	mark
18	llueve	VERB	15	advcl
19	y	CCONJ	22	cc
20	cuando	SCONJ	22	mark
21	no	ADV	22	advmod
22	llueve	VERB	18	conj
23	,	PUNCT	26	punct
24	que	SCONJ	26	mark
25	me	PRON	26	iobj
26	creí	VERB	15	advcl
27	que	SCONJ	29	mark
28	sería	AUX	29	cop
29	cosa	NOUN	26	ccomp
30	de	ADP	32	case
31	la	DET	32	det
32	siembra	NOUN	29	nmod
33	,	PUNCT	12	punct
34	ya	ADV	36	advmod
35	me	PRON	36	obj
36	entiende	VERB	12	advcl
37	.	PUNCT	8	punct