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:
Ni sus diez palacios, ni sus mil fincas, ni su condición de emperatriz del latifundio, la convierten en la representante del feudalismo.
Postion	Tokenization
1	Ni
2	sus
3	diez
4	palacios
5	,
6	ni
7	sus
8	mil
9	fincas
10	,
11	ni
12	su
13	condición
14	de
15	emperatriz
16	del
17	latifundio
18	,
19	la
20	convierten
21	en
22	la
23	representante
24	del
25	feudalismo
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ni	CCONJ	4	cc
2	sus	DET	4	det
3	diez	NUM	2	nummod
4	palacios	NOUN	20	nsubj
5	,	PUNCT	9	punct
6	ni	CCONJ	9	cc
7	sus	DET	9	det
8	mil	NUM	7	nummod
9	fincas	NOUN	4	conj
10	,	PUNCT	9	punct
11	ni	CCONJ	13	cc
12	su	DET	13	det
13	condición	NOUN	4	conj
14	de	ADP	15	case
15	emperatriz	NOUN	13	nmod
16	del	ADP	17	case
17	latifundio	NOUN	15	nmod
18	,	PUNCT	4	punct
19	la	PRON	20	obj
20	convierten	VERB	0	root
21	en	ADP	23	case
22	la	DET	23	det
23	representante	NOUN	20	iobj
24	del	ADP	25	case
25	feudalismo	NOUN	23	nmod
26	.	PUNCT	20	punct