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:
Por algo que no sabía explicar, tenía la convicción de que la maniobra había sido urdida contra ella por Fermina Daza, para no premiar su poema.
Postion	Tokenization
1	Por
2	algo
3	que
4	no
5	sabía
6	explicar
7	,
8	tenía
9	la
10	convicción
11	de
12	que
13	la
14	maniobra
15	había
16	sido
17	urdida
18	contra
19	ella
20	por
21	Fermina
22	Daza
23	,
24	para
25	no
26	premiar
27	su
28	poema
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	algo	PRON	8	obl
3	que	PRON	5	iobj
4	no	ADV	5	advmod
5	sabía	VERB	2	acl
6	explicar	VERB	5	xcomp
7	,	PUNCT	2	punct
8	tenía	VERB	0	root
9	la	DET	10	det
10	convicción	NOUN	8	obj
11	de	ADP	17	mark
12	que	SCONJ	17	mark
13	la	DET	14	det
14	maniobra	NOUN	17	nsubj
15	había	AUX	17	aux
16	sido	AUX	17	aux
17	urdida	VERB	10	acl
18	contra	ADP	19	case
19	ella	PRON	17	obl
20	por	ADP	21	case
21	Fermina	PROPN	17	obj
22	Daza	PROPN	21	flat
23	,	PUNCT	26	punct
24	para	ADP	26	mark
25	no	ADV	26	advmod
26	premiar	VERB	17	advcl
27	su	DET	28	det
28	poema	NOUN	26	obj
29	.	PUNCT	8	punct