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:
Con menos crudeza, pero con igual rigidez moral, su madre le había dicho lo mismo a Florentino Ariza tratando de consolarlo de sus desventuras.
Postion	Tokenization
1	Con
2	menos
3	crudeza
4	,
5	pero
6	con
7	igual
8	rigidez
9	moral
10	,
11	su
12	madre
13	le
14	había
15	dicho
16	lo
17	mismo
18	a
19	Florentino
20	Ariza
21	tratando
22	de
23	consolarlo
24	consolar
25	lo
26	de
27	sus
28	desventuras
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	menos	ADV	3	advmod
3	crudeza	NOUN	15	obl
4	,	PUNCT	8	punct
5	pero	CCONJ	8	cc
6	con	ADP	8	case
7	igual	ADJ	8	amod
8	rigidez	NOUN	3	conj
9	moral	ADJ	8	amod
10	,	PUNCT	3	punct
11	su	DET	12	det
12	madre	NOUN	15	nsubj
13	le	PRON	15	obj
14	había	AUX	15	aux
15	dicho	VERB	0	root
16	lo	PRON	17	det
17	mismo	PRON	15	obj
18	a	ADP	19	case
19	Florentino	PROPN	15	obj
20	Ariza	PROPN	19	flat
21	tratando	VERB	15	advcl
22	de	ADP	23	mark
23	consolarlo	_	None	_
24	consolar	VERB	21	xcomp
25	lo	PRON	23	obj
26	de	ADP	27	case
27	sus	DET	27	det
28	desventuras	NOUN	23	obj
29	.	PUNCT	15	punct