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:
Luego, ella lo recibía con los brazos abiertos y él recordaba que le habían ascendido dos veces desde que estaban juntos, no tenía por qué saber, por qué sospechar nada.
Postion	Tokenization
1	Luego
2	,
3	ella
4	lo
5	recibía
6	con
7	los
8	brazos
9	abiertos
10	y
11	él
12	recordaba
13	que
14	le
15	habían
16	ascendido
17	dos
18	veces
19	desde
20	que
21	estaban
22	juntos
23	,
24	no
25	tenía
26	por
27	qué
28	saber
29	,
30	por
31	qué
32	sospechar
33	nada
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Luego	ADV	5	advmod
2	,	PUNCT	1	punct
3	ella	PRON	5	nsubj
4	lo	PRON	5	obj
5	recibía	VERB	0	root
6	con	ADP	8	case
7	los	DET	8	det
8	brazos	NOUN	5	obl
9	abiertos	ADJ	8	amod
10	y	CCONJ	12	cc
11	él	PRON	12	nsubj
12	recordaba	VERB	5	conj
13	que	SCONJ	16	mark
14	le	PRON	16	obj
15	habían	AUX	16	aux
16	ascendido	VERB	12	ccomp
17	dos	NUM	18	nummod
18	veces	NOUN	16	obl
19	desde	ADP	22	mark
20	que	SCONJ	22	mark
21	estaban	AUX	22	cop
22	juntos	ADJ	16	advcl
23	,	PUNCT	5	punct
24	no	ADV	25	advmod
25	tenía	VERB	5	advcl
26	por	ADP	27	case
27	qué	PRON	28	obl
28	saber	VERB	25	xcomp
29	,	PUNCT	28	punct
30	por	ADP	31	case
31	qué	PRON	32	obl
32	sospechar	VERB	28	advcl
33	nada	PRON	28	obj
34	.	PUNCT	5	punct