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:
Entre las 80 sentencias del mismo, una dice que por derecho natural el clero no debe hacer la mili, y otro, que la libre discusión corrompe el alma.
Postion	Tokenization
1	Entre
2	las
3	80
4	sentencias
5	del
6	mismo
7	,
8	una
9	dice
10	que
11	por
12	derecho
13	natural
14	el
15	clero
16	no
17	debe
18	hacer
19	la
20	mili
21	,
22	y
23	otro
24	,
25	que
26	la
27	libre
28	discusión
29	corrompe
30	el
31	alma
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	4	case
2	las	DET	3	det
3	80	NUM	4	nummod
4	sentencias	NOUN	9	obl
5	del	ADP	6	case
6	mismo	PRON	4	nmod
7	,	PUNCT	4	punct
8	una	PRON	9	nsubj
9	dice	VERB	0	root
10	que	SCONJ	18	mark
11	por	ADP	12	case
12	derecho	NOUN	18	obl
13	natural	ADJ	12	amod
14	el	DET	15	det
15	clero	NOUN	18	nsubj
16	no	ADV	18	advmod
17	debe	AUX	18	aux
18	hacer	VERB	9	xcomp
19	la	DET	20	det
20	mili	NOUN	18	obj
21	,	PUNCT	29	punct
22	y	CCONJ	29	cc
23	otro	PRON	29	obj
24	,	PUNCT	29	punct
25	que	SCONJ	29	mark
26	la	DET	28	det
27	libre	ADJ	28	amod
28	discusión	NOUN	29	nsubj
29	corrompe	VERB	9	conj
30	el	DET	31	det
31	alma	NOUN	29	obj
32	.	PUNCT	9	punct