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:
Un puesto no se cubre por la condición de mujer, y hasta el congreso no se desvelará quién ocupará la secretaría general.
Postion	Tokenization
1	Un
2	puesto
3	no
4	se
5	cubre
6	por
7	la
8	condición
9	de
10	mujer
11	,
12	y
13	hasta
14	el
15	congreso
16	no
17	se
18	desvelará
19	quién
20	ocupará
21	la
22	secretaría
23	general
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	puesto	NOUN	5	nsubj
3	no	ADV	5	advmod
4	se	PRON	5	expl:pass
5	cubre	VERB	0	root
6	por	ADP	8	case
7	la	DET	8	det
8	condición	NOUN	5	obl
9	de	ADP	10	case
10	mujer	NOUN	8	nmod
11	,	PUNCT	18	punct
12	y	CCONJ	18	cc
13	hasta	ADP	15	case
14	el	DET	15	det
15	congreso	NOUN	18	obl
16	no	ADV	18	advmod
17	se	PRON	18	expl:pass
18	desvelará	VERB	5	conj
19	quién	PRON	20	nsubj
20	ocupará	VERB	18	csubj
21	la	DET	22	det
22	secretaría	NOUN	20	obj
23	general	ADJ	22	amod
24	.	PUNCT	5	punct