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:
Hace sólo 10 días, los sindicatos del metro alertaron de la mala conservación de algunos túneles y denunciaron que la compañía cuenta con 100 trabajadores menos que al comienzo del plan de ampliación.
Postion	Tokenization
1	Hace
2	sólo
3	10
4	días
5	,
6	los
7	sindicatos
8	del
9	metro
10	alertaron
11	de
12	la
13	mala
14	conservación
15	de
16	algunos
17	túneles
18	y
19	denunciaron
20	que
21	la
22	compañía
23	cuenta
24	con
25	100
26	trabajadores
27	menos
28	que
29	al
30	comienzo
31	del
32	plan
33	de
34	ampliación
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Hace	VERB	10	advcl
2	sólo	ADV	4	advmod
3	10	NUM	4	nummod
4	días	NOUN	1	obj
5	,	PUNCT	4	punct
6	los	DET	7	det
7	sindicatos	NOUN	10	nsubj
8	del	ADP	9	case
9	metro	NOUN	7	nmod
10	alertaron	VERB	0	root
11	de	ADP	14	case
12	la	DET	14	det
13	mala	ADJ	14	amod
14	conservación	NOUN	10	obj
15	de	ADP	17	case
16	algunos	DET	17	det
17	túneles	NOUN	14	nmod
18	y	CCONJ	19	cc
19	denunciaron	VERB	10	conj
20	que	SCONJ	23	mark
21	la	DET	22	det
22	compañía	NOUN	23	nsubj
23	cuenta	VERB	19	ccomp
24	con	ADP	26	case
25	100	NUM	26	nummod
26	trabajadores	NOUN	23	obj
27	menos	ADV	26	advmod
28	que	SCONJ	30	mark
29	al	ADP	30	case
30	comienzo	NOUN	27	obl
31	del	ADP	32	case
32	plan	NOUN	30	nmod
33	de	ADP	34	case
34	ampliación	NOUN	32	nmod
35	.	PUNCT	10	punct