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:
"Yo conocía mucho al Tomate, y al enterarme de que sus hijas, como eran muy modernas, se hacían llamar Las Ketchup, pensé que esas chicas estaban sembrás".
Postion	Tokenization
1	"
2	Yo
3	conocía
4	mucho
5	al
6	Tomate
7	,
8	y
9	al
10	enterarme
11	enterar
12	me
13	de
14	que
15	sus
16	hijas
17	,
18	como
19	eran
20	muy
21	modernas
22	,
23	se
24	hacían
25	llamar
26	Las
27	Ketchup
28	,
29	pensé
30	que
31	esas
32	chicas
33	estaban
34	sembrás
35	"
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Yo	PRON	3	nsubj
3	conocía	VERB	0	root
4	mucho	ADV	3	advmod
5	al	ADP	6	case
6	Tomate	PROPN	3	obj
7	,	PUNCT	28	punct
8	y	CCONJ	28	cc
9	al	ADP	10	mark
10	enterarme	_	None	_
11	enterar	VERB	28	advcl
12	me	PRON	10	expl:pv
13	de	ADP	23	mark
14	que	SCONJ	23	mark
15	sus	DET	15	det
16	hijas	NOUN	23	nsubj
17	,	PUNCT	20	punct
18	como	SCONJ	20	mark
19	eran	AUX	20	cop
20	muy	ADV	20	advmod
21	modernas	ADJ	23	advcl
22	,	PUNCT	20	punct
23	se	PRON	23	iobj
24	hacían	VERB	10	ccomp
25	llamar	VERB	23	xcomp
26	Las	DET	26	det
27	Ketchup	PROPN	24	obj
28	,	PUNCT	10	punct
29	pensé	VERB	3	conj
30	que	SCONJ	33	mark
31	esas	DET	31	det
32	chicas	NOUN	33	nsubj
33	estaban	AUX	33	cop
34	sembrás	ADJ	28	ccomp
35	"	PUNCT	3	punct
36	.	PUNCT	3	punct