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:
La sesión de ayer estuvo condicionada por las fuertes pérdidas del Nasdaq el viernes como consecuencia de los malos resultados de las empresas tecnológicas.
Postion	Tokenization
1	La
2	sesión
3	de
4	ayer
5	estuvo
6	condicionada
7	por
8	las
9	fuertes
10	pérdidas
11	del
12	Nasdaq
13	el
14	viernes
15	como
16	consecuencia
17	de
18	los
19	malos
20	resultados
21	de
22	las
23	empresas
24	tecnológicas
25	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	sesión	NOUN	6	nsubj
3	de	ADP	4	case
4	ayer	ADV	2	advmod
5	estuvo	AUX	6	cop
6	condicionada	ADJ	0	root
7	por	ADP	10	case
8	las	DET	10	det
9	fuertes	ADJ	10	amod
10	pérdidas	NOUN	6	obj
11	del	ADP	12	case
12	Nasdaq	PROPN	10	nmod
13	el	DET	14	det
14	viernes	NOUN	10	appos
15	como	SCONJ	20	case
16	consecuencia	NOUN	15	fixed
17	de	ADP	15	fixed
18	los	DET	20	det
19	malos	ADJ	20	amod
20	resultados	NOUN	10	nmod
21	de	ADP	23	case
22	las	DET	23	det
23	empresas	NOUN	20	nmod
24	tecnológicas	ADJ	23	amod
25	.	PUNCT	6	punct