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:
Ese es nuestro objetivo y estamos en condiciones de hacerlo porque los pronósticos así lo demuestran, las marcas que han hecho mis compañeros hasta entonces ", dijo.
Postion	Tokenization
1	Ese
2	es
3	nuestro
4	objetivo
5	y
6	estamos
7	en
8	condiciones
9	de
10	hacerlo
11	hacer
12	lo
13	porque
14	los
15	pronósticos
16	así
17	lo
18	demuestran
19	,
20	las
21	marcas
22	que
23	han
24	hecho
25	mis
26	compañeros
27	hasta
28	entonces
29	"
30	,
31	dijo
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ese	PRON	4	nsubj
2	es	AUX	4	cop
3	nuestro	DET	4	det
4	objetivo	NOUN	30	ccomp
5	y	CCONJ	6	cc
6	estamos	VERB	4	conj
7	en	ADP	10	mark
8	condiciones	NOUN	7	fixed
9	de	ADP	7	fixed
10	hacerlo	_	None	_
11	hacer	VERB	6	ccomp
12	lo	PRON	10	obj
13	porque	SCONJ	17	mark
14	los	DET	14	det
15	pronósticos	NOUN	17	nsubj
16	así	ADV	17	advmod
17	lo	PRON	17	obj
18	demuestran	VERB	6	advcl
19	,	PUNCT	20	punct
20	las	DET	20	det
21	marcas	NOUN	17	iobj
22	que	PRON	23	obj
23	han	AUX	23	aux
24	hecho	VERB	20	acl
25	mis	DET	25	det
26	compañeros	NOUN	23	nsubj
27	hasta	ADP	27	case
28	entonces	ADV	23	advmod
29	"	PUNCT	4	punct
30	,	PUNCT	4	punct
31	dijo	VERB	0	root
32	.	PUNCT	30	punct